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metafile.yml
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Collections:
- Name: Mask2Former
Metadata:
Training Data: COCO
Training Techniques:
- AdamW
- Weight Decay
Training Resources: 8x A100 GPUs
Architecture:
- Mask2Former
Paper:
URL: https://arxiv.org/pdf/2112.01527
Title: 'Masked-attention Mask Transformer for Universal Image Segmentation'
README: configs/mask2former/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.23.0/mmdet/models/detectors/mask2former.py#L7
Version: v2.23.0
Models:
- Name: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco-panoptic
In Collection: Mask2Former
Config: configs/mask2former/mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco-panoptic.py
Metadata:
Training Memory (GB): 19.1
Iterations: 368750
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 47.8
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 44.5
- Task: Panoptic Segmentation
Dataset: COCO
Metrics:
PQ: 54.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco-panoptic/mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco-panoptic_20220329_225200-c7b94355.pth
- Name: mask2former_r101_8xb2-lsj-50e_coco
In Collection: Mask2Former
Config: configs/mask2former/mask2former_r101_8xb2-lsj-50e_coco.py
Metadata:
Training Memory (GB): 15.5
Iterations: 368750
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 46.7
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 44.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_r101_lsj_8x2_50e_coco/mask2former_r101_lsj_8x2_50e_coco_20220426_100250-c50b6fa6.pth
- Name: mask2former_r101_8xb2-lsj-50e_coco-panoptic
In Collection: Mask2Former
Config: configs/mask2former/mask2former_r101_8xb2-lsj-50e_coco-panoptic.py
Metadata:
Training Memory (GB): 16.1
Iterations: 368750
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 45.3
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 42.4
- Task: Panoptic Segmentation
Dataset: COCO
Metrics:
PQ: 52.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_r101_lsj_8x2_50e_coco-panoptic/mask2former_r101_lsj_8x2_50e_coco-panoptic_20220329_225104-c54e64c9.pth
- Name: mask2former_r50_8xb2-lsj-50e_coco-panoptic
In Collection: Mask2Former
Config: configs/mask2former/mask2former_r50_8xb2-lsj-50e_coco-panoptic.py
Metadata:
Training Memory (GB): 13.9
Iterations: 368750
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 44.8
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 41.9
- Task: Panoptic Segmentation
Dataset: COCO
Metrics:
PQ: 51.9
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_r50_lsj_8x2_50e_coco-panoptic/mask2former_r50_lsj_8x2_50e_coco-panoptic_20220326_224516-11a44721.pth
- Name: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco-panoptic
In Collection: Mask2Former
Config: configs/mask2former/mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco-panoptic.py
Metadata:
Training Memory (GB): 15.9
Iterations: 368750
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 46.3
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 43.4
- Task: Panoptic Segmentation
Dataset: COCO
Metrics:
PQ: 53.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-t-p4-w7-224_lsj_8x2_50e_coco-panoptic/mask2former_swin-t-p4-w7-224_lsj_8x2_50e_coco-panoptic_20220326_224553-fc567107.pth
- Name: mask2former_r50_8xb2-lsj-50e_coco
In Collection: Mask2Former
Config: configs/mask2former/mask2former_r50_8xb2-lsj-50e_coco.py
Metadata:
Training Memory (GB): 13.7
Iterations: 368750
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 45.7
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 42.9
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_r50_lsj_8x2_50e_coco/mask2former_r50_lsj_8x2_50e_coco_20220506_191028-8e96e88b.pth
- Name: mask2former_swin-l-p4-w12-384-in21k_16xb1-lsj-100e_coco-panoptic
In Collection: Mask2Former
Config: configs/mask2former/mask2former_swin-l-p4-w12-384-in21k_16xb1-lsj-100e_coco-panoptic.py
Metadata:
Training Memory (GB): 21.1
Iterations: 737500
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 52.2
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 48.5
- Task: Panoptic Segmentation
Dataset: COCO
Metrics:
PQ: 57.6
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-l-p4-w12-384-in21k_lsj_16x1_100e_coco-panoptic/mask2former_swin-l-p4-w12-384-in21k_lsj_16x1_100e_coco-panoptic_20220407_104949-d4919c44.pth
- Name: mask2former_swin-b-p4-w12-384-in21k_8xb2-lsj-50e_coco-panoptic
In Collection: Mask2Former
Config: configs/mask2former/mask2former_swin-b-p4-w12-384-in21k_8xb2-lsj-50e_coco-panoptic.py
Metadata:
Training Memory (GB): 25.8
Iterations: 368750
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 50.0
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 46.3
- Task: Panoptic Segmentation
Dataset: COCO
Metrics:
PQ: 56.3
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-b-p4-w12-384-in21k_lsj_8x2_50e_coco-panoptic/mask2former_swin-b-p4-w12-384-in21k_lsj_8x2_50e_coco-panoptic_20220329_230021-3bb8b482.pth
- Name: mask2former_swin-b-p4-w12-384_8xb2-lsj-50e_coco-panoptic
In Collection: Mask2Former
Config: configs/mask2former/mask2former_swin-b-p4-w12-384_8xb2-lsj-50e_coco-panoptic.py
Metadata:
Training Memory (GB): 26.0
Iterations: 368750
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 48.2
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 44.9
- Task: Panoptic Segmentation
Dataset: COCO
Metrics:
PQ: 55.1
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-b-p4-w12-384_lsj_8x2_50e_coco-panoptic/mask2former_swin-b-p4-w12-384_lsj_8x2_50e_coco-panoptic_20220331_002244-c149a9e9.pth
- Name: mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco
In Collection: Mask2Former
Config: configs/mask2former/mask2former_swin-t-p4-w7-224_8xb2-lsj-50e_coco.py
Metadata:
Training Memory (GB): 15.3
Iterations: 368750
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 47.7
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 44.7
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-t-p4-w7-224_lsj_8x2_50e_coco/mask2former_swin-t-p4-w7-224_lsj_8x2_50e_coco_20220508_091649-4a943037.pth
- Name: mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco
In Collection: Mask2Former
Config: configs/mask2former/mask2former_swin-s-p4-w7-224_8xb2-lsj-50e_coco.py
Metadata:
Training Memory (GB): 18.8
Iterations: 368750
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 49.3
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 46.1
Weights: https://download.openmmlab.com/mmdetection/v2.0/mask2former/mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco/mask2former_swin-s-p4-w7-224_lsj_8x2_50e_coco_20220504_001756-743b7d99.pth