diff --git a/.circleci/test.yml b/.circleci/test.yml
index 305544a94e..534ba7fa4e 100644
--- a/.circleci/test.yml
+++ b/.circleci/test.yml
@@ -83,7 +83,7 @@ jobs:
         type: string
       cuda:
         type: enum
-        enum: ["11.0"]
+        enum: ["11.0", "11.7"]
       cudnn:
         type: integer
         default: 8
@@ -157,8 +157,8 @@ workflows:
             - lint
       - build_cpu:
           name: maximum_version_cpu
-          torch: 1.13.0
-          torchvision: 0.14.0
+          torch: 2.0.0
+          torchvision: 0.15.1
           python: 3.9.0
           requires:
             - minimum_version_cpu
@@ -174,6 +174,13 @@ workflows:
           cuda: "11.0"
           requires:
             - hold
+      - build_cuda:
+          name: maximum_version_gpu
+          torch: 2.0.0
+          cuda: "11.7"
+          cudnn: 8
+          requires:
+            - hold
   merge_stage_test:
     when:
       not:
diff --git a/.github/workflows/merge_stage_test.yml b/.github/workflows/merge_stage_test.yml
index a9ff9715d9..d2a64590ae 100644
--- a/.github/workflows/merge_stage_test.yml
+++ b/.github/workflows/merge_stage_test.yml
@@ -18,7 +18,7 @@ concurrency:
 
 jobs:
   build_cpu_py:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-22.04
     strategy:
       matrix:
         python-version: [3.8, 3.9]
@@ -27,9 +27,9 @@ jobs:
           - torch: 1.8.1
             torchvision: 0.9.1
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
       - name: Upgrade pip
@@ -45,10 +45,13 @@ jobs:
           pip install -U openmim
           mim install 'mmcv >= 2.0.0rc1'
       - name: Install MMDet
-        run: pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
+        run: |
+          python -m pip install --upgrade pip setuptools wheel
+          pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
       - name: Install other dependencies
         run: |
           pip install -r requirements/tests.txt
+          pip install -r requirements/runtime.txt
           pip install -r requirements/albu.txt
           pip install -r requirements/poseval.txt
       - name: Build and install
@@ -60,7 +63,7 @@ jobs:
           coverage report -m
 
   build_cpu_pt:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-22.04
     strategy:
       matrix:
         python-version: [3.7]
@@ -82,10 +85,13 @@ jobs:
             torchvision: 0.13.1
           - torch: 1.13.0
             torchvision: 0.14.0
+          - torch: 2.0.0
+            torchvision: 0.15.1
+            python-version: 3.8
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
       - name: Upgrade pip
@@ -101,10 +107,13 @@ jobs:
           pip install -U openmim
           mim install 'mmcv >= 2.0.0rc1'
       - name: Install MMDet
-        run: pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
+        run: |
+          python -m pip install --upgrade pip setuptools wheel
+          pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
       - name: Install other dependencies
         run: |
           pip install -r requirements/tests.txt
+          pip install -r requirements/runtime.txt
           pip install -r requirements/albu.txt
           pip install -r requirements/poseval.txt
       - name: Build and install
@@ -126,7 +135,7 @@ jobs:
           fail_ci_if_error: false
 
   build_cu102:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-22.04
     container:
       image: pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel
     strategy:
@@ -136,9 +145,9 @@ jobs:
           - torch: 1.8.1
             cuda: 10.2
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
       - name: Upgrade pip
@@ -161,24 +170,35 @@ jobs:
           mim install 'mmcv >= 2.0.0rc1'
           pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
           pip install -r requirements/tests.txt
+          pip install -r requirements/runtime.txt
           pip install -r requirements/albu.txt
           pip install -r requirements/poseval.txt
       - name: Build and install
+        run: rm -rf .eggs && pip install -e .
+      - name: Run unittests and generate coverage report
         run: |
-          python setup.py check -m -s
-          TORCH_CUDA_ARCH_LIST=7.0 pip install -e .
+          coverage run --branch --source mmpose -m pytest tests/
+          coverage xml
+          coverage report -m
 
   build_windows:
-    runs-on: ${{ matrix.os }}
+    runs-on: windows-2022
     strategy:
       matrix:
         os: [windows-2022]
         python: [3.7]
         platform: [cpu, cu111]
+        torch: [1.8.1]
+        torchvision: [0.9.1]
+        include:
+          - python-version: 3.8
+            platform: cu117
+            torch: 2.0.0
+            torchvision: 0.15.1
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
       - name: Upgrade pip
@@ -186,7 +206,7 @@ jobs:
       - name: Install lmdb
         run: python -m pip install lmdb
       - name: Install PyTorch
-        run: python -m pip install torch==1.8.1+${{matrix.platform}} torchvision==0.9.1+${{matrix.platform}} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
+        run: python -m pip install torch==${{matrix.torch}}+${{matrix.platform}} torchvision==${{matrix.torchvision}}+${{matrix.platform}} -f https://download.pytorch.org/whl/${{matrix.platform}}/torch_stable.html
       - name: Install mmpose dependencies
         run: |
           python -m pip install -U numpy
@@ -195,11 +215,13 @@ jobs:
           mim install 'mmcv >= 2.0.0rc1'
           python -m pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
           python -m pip install -r requirements/tests.txt
+          python -m pip install -r requirements/runtime.txt
           python -m pip install -r requirements/albu.txt
           python -m pip install -r requirements/poseval.txt
       - name: Build and install
         run: |
-          python -m pip install -e .
+          python -m pip install --upgrade pip setuptools wheel
+          python -m pip install -e . -v
       - name: Run unittests and generate coverage report
         run: |
           pytest tests/
diff --git a/.github/workflows/pr_stage_test.yml b/.github/workflows/pr_stage_test.yml
index 74d041d0b0..c5f99b0ebd 100644
--- a/.github/workflows/pr_stage_test.yml
+++ b/.github/workflows/pr_stage_test.yml
@@ -16,7 +16,7 @@ concurrency:
 
 jobs:
   build_cpu:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-22.04
     strategy:
       matrix:
         python-version: [3.7]
@@ -24,9 +24,9 @@ jobs:
           - torch: 1.8.1
             torchvision: 0.9.1
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
       - name: Upgrade pip
@@ -37,12 +37,14 @@ jobs:
         run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
       - name: Install mmpose dependencies
         run: |
+          python -m pip install --upgrade pip setuptools wheel
           pip install -U numpy
           pip install git+https://github.com/open-mmlab/mmengine.git@main
           pip install -U openmim
           mim install 'mmcv >= 2.0.0rc1'
           pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
           pip install -r requirements/tests.txt
+          pip install -r requirements/runtime.txt
           pip install -r requirements/albu.txt
           pip install -r requirements/poseval.txt
       - name: Build and install
@@ -63,16 +65,16 @@ jobs:
           fail_ci_if_error: false
 
   build_cu102:
-    runs-on: ubuntu-18.04
+    runs-on: ubuntu-22.04
     container:
       image: pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel
     strategy:
       matrix:
         python-version: [3.7]
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
       - name: Upgrade pip
@@ -96,24 +98,75 @@ jobs:
           mim install 'mmcv >= 2.0.0rc1'
           pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
           pip install -r requirements/tests.txt
+          pip install -r requirements/runtime.txt
           pip install -r requirements/albu.txt
           pip install -r requirements/poseval.txt
       - name: Build and install
+        run: rm -rf .eggs && pip install -e .
+      - name: Run unittests and generate coverage report
+        run: |
+          coverage run --branch --source mmpose -m pytest tests/
+          coverage xml
+          coverage report -m
+
+  build_cu117:
+    runs-on: ubuntu-22.04
+    container:
+      image: pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel
+    strategy:
+      matrix:
+        python-version: [3.9]
+    steps:
+      - uses: actions/checkout@v3
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Upgrade pip
+        run: pip install pip --upgrade
+      - name: Fetch GPG keys
+        run: |
+          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
+          apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
+      - name: Install system dependencies
+        run: apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev
+      - name: Install mmpose dependencies
         run: |
-          python setup.py check -m -s
-          TORCH_CUDA_ARCH_LIST=7.0 pip install -e .
+          pip install -U numpy
+          pip install git+https://github.com/open-mmlab/mmengine.git@main
+          pip install -U openmim
+          mim install 'mmcv >= 2.0.0rc1'
+          pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
+          pip install -r requirements/tests.txt
+          pip install -r requirements/runtime.txt
+          pip install -r requirements/albu.txt
+          pip install -r requirements/poseval.txt
+      - name: Build and install
+        run: rm -rf .eggs && pip install -e .
+      - name: Run unittests and generate coverage report
+        run: |
+          coverage run --branch --source mmpose -m pytest tests/
+          coverage xml
+          coverage report -m
 
   build_windows:
-    runs-on: ${{ matrix.os }}
+    runs-on: windows-2022
     strategy:
       matrix:
         os: [windows-2022]
         python: [3.7]
         platform: [cpu, cu111]
+        torch: [1.8.1]
+        torchvision: [0.9.1]
+        include:
+          - python-version: 3.8
+            platform: cu117
+            torch: 2.0.0
+            torchvision: 0.15.1
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
       - name: Upgrade pip
@@ -121,7 +174,7 @@ jobs:
       - name: Install lmdb
         run: python -m pip install lmdb
       - name: Install PyTorch
-        run: python -m pip install torch==1.8.1+${{matrix.platform}} torchvision==0.9.1+${{matrix.platform}} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
+        run: python -m pip install torch==${{matrix.torch}}+${{matrix.platform}} torchvision==${{matrix.torchvision}}+${{matrix.platform}} -f https://download.pytorch.org/whl/${{matrix.platform}}/torch_stable.html
       - name: Install mmpose dependencies
         run: |
           python -m pip install -U numpy
@@ -134,7 +187,8 @@ jobs:
           python -m pip install -r requirements/poseval.txt
       - name: Build and install
         run: |
-          python -m pip install -e .
+          python -m pip install --upgrade pip setuptools wheel
+          python -m pip install -e . -v
       - name: Run unittests and generate coverage report
         run: |
           pytest tests/
diff --git a/configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose_ap10k.md b/configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose_ap10k.md
index 6303a131da..bfa509c917 100644
--- a/configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose_ap10k.md
+++ b/configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose_ap10k.md
@@ -22,4 +22,4 @@ Results on AP-10K validation set
 
 | Arch                                       | Input Size |  AP   | AP<sup>50</sup> | AP<sup>75</sup> | AP<sup>M</sup> | AP<sup>L</sup> |                    ckpt                     |                    log                     |
 | :----------------------------------------- | :--------: | :---: | :-------------: | :-------------: | :------------: | :------------: | :-----------------------------------------: | :----------------------------------------: |
-| [rtmpose-m](./rtmpose-m_8xb64-210e_ap10k-256x256.py) |  256x256   | 0.722 |      0.939      |      0.788      |     0.569      |     0.728      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.json) |
+| [rtmpose-m](/configs/animal_2d_keypoint/rtmpose/ap10k/rtmpose-m_8xb64-210e_ap10k-256x256.py) |  256x256   | 0.722 |      0.939      |      0.788      |     0.569      |     0.728      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-ap10k_pt-aic-coco_210e-256x256-7a041aa1_20230206.json) |
diff --git a/configs/body_2d_keypoint/integral_regression/coco/resnet_debias_coco.md b/configs/body_2d_keypoint/integral_regression/coco/resnet_debias_coco.md
index 0820fdd296..40e3660e4f 100644
--- a/configs/body_2d_keypoint/integral_regression/coco/resnet_debias_coco.md
+++ b/configs/body_2d_keypoint/integral_regression/coco/resnet_debias_coco.md
@@ -54,4 +54,4 @@ Results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 da
 
 | Arch                                          | Input Size |  AP   | AP<sup>50</sup> | AP<sup>75</sup> |  AR   | AR<sup>50</sup> |                     ckpt                      |                      log                      |
 | :-------------------------------------------- | :--------: | :---: | :-------------: | :-------------: | :---: | :-------------: | :-------------------------------------------: | :-------------------------------------------: |
-| [debias-ipr_resnet_50](/configs/body_2d_keypoint/integral_regression/coco/ipr_res50_debias--8xb64-210e_coco-256x256.py) |  256x256   | 0.675 |      0.872      |      0.740      | 0.765 |      0.928      | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/integral_regression/coco/ipr_res50_debias-8xb64-210e_coco-256x256-055a7699_20220913.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/integral_regression/coco/ipr_res50_debias-8xb64-210e_coco-256x256-055a7699_20220913.log.json) |
+| [debias-ipr_resnet_50](/configs/body_2d_keypoint/integral_regression/coco/ipr_res50_debias-8xb64-210e_coco-256x256.py) |  256x256   | 0.675 |      0.872      |      0.740      | 0.765 |      0.928      | [ckpt](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/integral_regression/coco/ipr_res50_debias-8xb64-210e_coco-256x256-055a7699_20220913.pth) | [log](https://download.openmmlab.com/mmpose/v1/body_2d_keypoint/integral_regression/coco/ipr_res50_debias-8xb64-210e_coco-256x256-055a7699_20220913.log.json) |
diff --git a/configs/body_2d_keypoint/rtmpose/coco/rtmpose_coco.md b/configs/body_2d_keypoint/rtmpose/coco/rtmpose_coco.md
index 2b3d4447e1..1e88d51255 100644
--- a/configs/body_2d_keypoint/rtmpose/coco/rtmpose_coco.md
+++ b/configs/body_2d_keypoint/rtmpose/coco/rtmpose_coco.md
@@ -59,13 +59,13 @@ Results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 da
 
 | Arch                                          | Input Size |  AP   | AP<sup>50</sup> | AP<sup>75</sup> |  AR   | AR<sup>50</sup> |                     ckpt                      |                      log                      |
 | :-------------------------------------------- | :--------: | :---: | :-------------: | :-------------: | :---: | :-------------: | :-------------------------------------------: | :-------------------------------------------: |
-| [rtmpose-t](./rtmpose-t_8xb256-420e_coco-256x192.py) |  256x192   | 0.682 |      0.883      |      0.759      | 0.736 |      0.920      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-coco_pt-aic-coco_420e-256x192-e613ba3f_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-coco_pt-aic-coco_420e-256x192-e613ba3f_20230127.json) |
-| [rtmpose-s](./rtmpose-s_8xb256-420e_coco-256x192.py) |  256x192   | 0.716 |      0.892      |      0.789      | 0.768 |      0.929      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-coco_pt-aic-coco_420e-256x192-8edcf0d7_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-coco_pt-aic-coco_420e-256x192-8edcf0d7_20230127.json) |
-| [rtmpose-m](./rtmpose-m_8xb256-420e_coco-256x192.py) |  256x192   | 0.746 |      0.899      |      0.817      | 0.795 |      0.935      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco_pt-aic-coco_420e-256x192-d8dd5ca4_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco_pt-aic-coco_420e-256x192-d8dd5ca4_20230127.json) |
-| [rtmpose-l](./rtmpose-l_8xb256-420e_coco-256x192.py) |  256x192   | 0.758 |      0.906      |      0.826      | 0.806 |      0.942      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco_pt-aic-coco_420e-256x192-1352a4d2_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco_pt-aic-coco_420e-256x192-1352a4d2_20230127.json) |
-| [rtmpose-t-aic-coco](./rtmpose-t_8xb256-420e_aic-coco-256x192.py) |  256x192   | 0.685 |      0.880      |      0.761      | 0.738 |      0.918      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-aic-coco_pt-aic-coco_420e-256x192-cfc8f33d_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-aic-coco_pt-aic-coco_420e-256x192-cfc8f33d_20230126.json) |
-| [rtmpose-s-aic-coco](./rtmpose-s_8xb256-420e_aic-coco-256x192.py) |  256x192   | 0.722 |      0.892      |      0.794      | 0.772 |      0.929      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-aic-coco_pt-aic-coco_420e-256x192-fcb2599b_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-aic-coco_pt-aic-coco_420e-256x192-fcb2599b_20230126.json) |
-| [rtmpose-m-aic-coco](./rtmpose-m_8xb256-420e_aic-coco-256x192.py) |  256x192   | 0.758 |      0.903      |      0.826      | 0.806 |      0.940      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.json) |
-| [rtmpose-l-aic-coco](./rtmpose-l_8xb256-420e_aic-coco-256x192.py) |  256x192   | 0.765 |      0.906      |      0.835      | 0.813 |      0.942      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-256x192-f016ffe0_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-256x192-f016ffe0_20230126.json) |
-| [rtmpose-m-aic-coco](./rtmpose-m_8xb256-420e_aic-coco-384x288.py) |  384x288   | 0.770 |      0.908      |      0.833      | 0.816 |      0.943      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-384x288-a62a0b32_20230228.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-384x288-a62a0b32_20230228.json) |
-| [rtmpose-l-aic-coco](./rtmpose-l_8xb256-420e_aic-coco-384x288.py) |  384x288   | 0.773 |      0.907      |      0.835      | 0.819 |      0.942      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-384x288-97d6cb0f_20230228.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-384x288-97d6cb0f_20230228.json) |
+| [rtmpose-t](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-t_8xb256-420e_coco-256x192.py) |  256x192   | 0.682 |      0.883      |      0.759      | 0.736 |      0.920      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-coco_pt-aic-coco_420e-256x192-e613ba3f_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-coco_pt-aic-coco_420e-256x192-e613ba3f_20230127.json) |
+| [rtmpose-s](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-s_8xb256-420e_coco-256x192.py) |  256x192   | 0.716 |      0.892      |      0.789      | 0.768 |      0.929      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-coco_pt-aic-coco_420e-256x192-8edcf0d7_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-coco_pt-aic-coco_420e-256x192-8edcf0d7_20230127.json) |
+| [rtmpose-m](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-m_8xb256-420e_coco-256x192.py) |  256x192   | 0.746 |      0.899      |      0.817      | 0.795 |      0.935      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco_pt-aic-coco_420e-256x192-d8dd5ca4_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco_pt-aic-coco_420e-256x192-d8dd5ca4_20230127.json) |
+| [rtmpose-l](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-l_8xb256-420e_coco-256x192.py) |  256x192   | 0.758 |      0.906      |      0.826      | 0.806 |      0.942      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco_pt-aic-coco_420e-256x192-1352a4d2_20230127.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco_pt-aic-coco_420e-256x192-1352a4d2_20230127.json) |
+| [rtmpose-t-aic-coco](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-t_8xb256-420e_aic-coco-256x192.py) |  256x192   | 0.685 |      0.880      |      0.761      | 0.738 |      0.918      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-aic-coco_pt-aic-coco_420e-256x192-cfc8f33d_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-tiny_simcc-aic-coco_pt-aic-coco_420e-256x192-cfc8f33d_20230126.json) |
+| [rtmpose-s-aic-coco](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-s_8xb256-420e_aic-coco-256x192.py) |  256x192   | 0.722 |      0.892      |      0.794      | 0.772 |      0.929      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-aic-coco_pt-aic-coco_420e-256x192-fcb2599b_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-s_simcc-aic-coco_pt-aic-coco_420e-256x192-fcb2599b_20230126.json) |
+| [rtmpose-m-aic-coco](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-m_8xb256-420e_aic-coco-256x192.py) |  256x192   | 0.758 |      0.903      |      0.826      | 0.806 |      0.940      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-256x192-63eb25f7_20230126.json) |
+| [rtmpose-l-aic-coco](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-l_8xb256-420e_aic-coco-256x192.py) |  256x192   | 0.765 |      0.906      |      0.835      | 0.813 |      0.942      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-256x192-f016ffe0_20230126.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-256x192-f016ffe0_20230126.json) |
+| [rtmpose-m-aic-coco](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-m_8xb256-420e_aic-coco-384x288.py) |  384x288   | 0.770 |      0.908      |      0.833      | 0.816 |      0.943      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-384x288-a62a0b32_20230228.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-aic-coco_pt-aic-coco_420e-384x288-a62a0b32_20230228.json) |
+| [rtmpose-l-aic-coco](/configs/body_2d_keypoint/rtmpose/coco/rtmpose-l_8xb256-420e_aic-coco-384x288.py) |  384x288   | 0.773 |      0.907      |      0.835      | 0.819 |      0.942      | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-384x288-97d6cb0f_20230228.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-aic-coco_pt-aic-coco_420e-384x288-97d6cb0f_20230228.json) |
diff --git a/configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose_crowdpose.md b/configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose_crowdpose.md
index 35048ee9ef..a75855d564 100644
--- a/configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose_crowdpose.md
+++ b/configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose_crowdpose.md
@@ -57,4 +57,4 @@ Results on CrowdPose test with [YOLOv3](https://github.com/eriklindernoren/PyTor
 
 | Arch                                           | Input Size |  AP   | AP<sup>50</sup> | AP<sup>75</sup> | AP (E) | AP (M) | AP (H) |                      ckpt                      |                      log                      |
 | :--------------------------------------------- | :--------: | :---: | :-------------: | :-------------: | :----: | :----: | :----: | :--------------------------------------------: | :-------------------------------------------: |
-| [rtmpose-m](./rtmpose-m_8xb64-210e_crowdpose-256x192.py) |  256x192   | 0.706 |      0.841      |      0.765      | 0.799  | 0.719  | 0.582  | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-crowdpose_pt-aic-coco_210e-256x192-e6192cac_20230224.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-crowdpose_pt-aic-coco_210e-256x192-e6192cac_20230224.json) |
+| [rtmpose-m](/configs/body_2d_keypoint/rtmpose/crowdpose/rtmpose-m_8xb64-210e_crowdpose-256x192.py) |  256x192   | 0.706 |      0.841      |      0.765      | 0.799  | 0.719  | 0.582  | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-crowdpose_pt-aic-coco_210e-256x192-e6192cac_20230224.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-crowdpose_pt-aic-coco_210e-256x192-e6192cac_20230224.json) |
diff --git a/configs/body_2d_keypoint/rtmpose/mpii/rtmpose_mpii.md b/configs/body_2d_keypoint/rtmpose/mpii/rtmpose_mpii.md
index b9c8f5a6bd..b31df64403 100644
--- a/configs/body_2d_keypoint/rtmpose/mpii/rtmpose_mpii.md
+++ b/configs/body_2d_keypoint/rtmpose/mpii/rtmpose_mpii.md
@@ -38,6 +38,6 @@
 
 Results on MPII val set
 
-| Arch                                                | Input Size | Mean / w. flip | Mean@0.1 |                            ckpt                             |                            log                             |
-| :-------------------------------------------------- | :--------: | :------------: | :------: | :---------------------------------------------------------: | :--------------------------------------------------------: |
-| [rtmpose-m](./rtmpose-m_8xb64-210e_mpii-256x256.py) |  256x256   |     0.907      |  0.348   | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-mpii_pt-aic-coco_210e-256x256-ec4dbec8_20230206.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-mpii_pt-aic-coco_210e-256x256-ec4dbec8_20230206.json) |
+| Arch                                                     | Input Size | Mean / w. flip | Mean@0.1 |                           ckpt                           |                           log                            |
+| :------------------------------------------------------- | :--------: | :------------: | :------: | :------------------------------------------------------: | :------------------------------------------------------: |
+| [rtmpose-m](/configs/body_2d_keypoint/rtmpose/mpii/rtmpose-m_8xb64-210e_mpii-256x256.py) |  256x256   |     0.907      |  0.348   | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-mpii_pt-aic-coco_210e-256x256-ec4dbec8_20230206.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-mpii_pt-aic-coco_210e-256x256-ec4dbec8_20230206.json) |
diff --git a/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose_coco-wholebody.md b/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose_coco-wholebody.md
index 75cf6245ff..ae338afe1e 100644
--- a/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose_coco-wholebody.md
+++ b/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose_coco-wholebody.md
@@ -57,6 +57,6 @@ Results on COCO-WholeBody v1.0 val with detector having human AP of 56.4 on COCO
 
 | Arch                                    | Input Size | Body AP | Body AR | Foot AP | Foot AR | Face AP | Face AR | Hand AP | Hand AR | Whole AP | Whole AR |                   ckpt                   |                   log                   |
 | :-------------------------------------- | :--------: | :-----: | :-----: | :-----: | :-----: | :-----: | :-----: | :-----: | :-----: | :------: | :------: | :--------------------------------------: | :-------------------------------------: |
-| [rtmpose-m](./rtmpose-m_8xb64-270e_coco-wholebody-256x192.py) |  256x192   |  0.697  |  0.743  |  0.660  |  0.749  |  0.822  |  0.858  |  0.483  |  0.564  |  0.604   |  0.667   | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco-wholebody_pt-aic-coco_270e-256x192-cd5e845c_20230123.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco-wholebody_pt-aic-coco_270e-256x192-cd5e845c_20230123.json) |
-| [rtmpose-l](./rtmpose-l_8xb64-270e_coco-wholebody-256x192.py) |  256x192   |  0.721  |  0.764  |  0.693  |  0.780  |  0.844  |  0.876  |  0.523  |  0.600  |  0.632   |  0.694   | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-256x192-6f206314_20230124.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-256x192-6f206314_20230124.json) |
-| [rtmpose-l](./rtmpose-l_8xb32-270e_coco-wholebody-384x288.py) |  384x288   |  0.736  |  0.776  |  0.738  |  0.810  |  0.895  |  0.918  |  0.591  |  0.659  |  0.670   |  0.723   | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.json) |
+| [rtmpose-m](/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose-m_8xb64-270e_coco-wholebody-256x192.py) |  256x192   |  0.697  |  0.743  |  0.660  |  0.749  |  0.822  |  0.858  |  0.483  |  0.564  |  0.604   |  0.667   | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco-wholebody_pt-aic-coco_270e-256x192-cd5e845c_20230123.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-m_simcc-coco-wholebody_pt-aic-coco_270e-256x192-cd5e845c_20230123.json) |
+| [rtmpose-l](/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose-l_8xb64-270e_coco-wholebody-256x192.py) |  256x192   |  0.721  |  0.764  |  0.693  |  0.780  |  0.844  |  0.876  |  0.523  |  0.600  |  0.632   |  0.694   | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-256x192-6f206314_20230124.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-256x192-6f206314_20230124.json) |
+| [rtmpose-l](/configs/wholebody_2d_keypoint/rtmpose/coco-wholebody/rtmpose-l_8xb32-270e_coco-wholebody-384x288.py) |  384x288   |  0.736  |  0.776  |  0.738  |  0.810  |  0.895  |  0.918  |  0.591  |  0.659  |  0.670   |  0.723   | [ckpt](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.pth) | [log](https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmpose-l_simcc-coco-wholebody_pt-aic-coco_270e-384x288-eaeb96c8_20230125.json) |