update changelog & release note

CHANGELOG.md

@@ -8,26 +8,22 @@ All notable changes to this project will be documented in this file.
 
 - Support encrypted dataset training (<https://github.com/openvinotoolkit/training_extensions/pull/2209>)
 - Add custom max iou assigner to prevent CPU OOM when large annotations are used (<https://github.com/openvinotoolkit/training_extensions/pull/2228>)
-- Auto train type detection for Semi-SL, Self-SL and Incremental: "--train-type" now is optional (https://github.com/openvinotoolkit/training_extensions/pull/2195)
-- Add per-class XAI saliency maps for Mask R-CNN model (https://github.com/openvinotoolkit/training_extensions/pull/2227)
+- Auto train type detection for Semi-SL, Self-SL and Incremental: "--train-type" now is optional (<https://github.com/openvinotoolkit/training_extensions/pull/2195>)
+- Add per-class XAI saliency maps for Mask R-CNN model (<https://github.com/openvinotoolkit/training_extensions/pull/2227>)
 - Add new object detector Deformable DETR (<https://github.com/openvinotoolkit/training_extensions/pull/2249>)
-- Add new object detector DINO(<https://github.com/openvinotoolkit/training_extensions/pull/2266>)
-- Add new visual prompting task: train/eval (https://github.com/openvinotoolkit/training_extensions/pull/2203)
-- Add new visual prompting task: export (https://github.com/openvinotoolkit/training_extensions/pull/2274)
-- Add new visual prompting task: deploy (https://github.com/openvinotoolkit/training_extensions/pull/2311)
-- Add new visual prompting task: documentation (https://github.com/openvinotoolkit/training_extensions/pull/2354)
-- Add new visual prompting task: optimize (PTQ) (https://github.com/openvinotoolkit/training_extensions/pull/2318)
+- Add new object detector DINO (<https://github.com/openvinotoolkit/training_extensions/pull/2266>)
+- Add new visual prompting task (<https://github.com/openvinotoolkit/training_extensions/pull/2203>, <https://github.com/openvinotoolkit/training_extensions/pull/2274>, <https://github.com/openvinotoolkit/training_extensions/pull/2311>, <https://github.com/openvinotoolkit/training_extensions/pull/2354>, <https://github.com/openvinotoolkit/training_extensions/pull/2318>)
 - Add new object detector ResNeXt101-ATSS (<https://github.com/openvinotoolkit/training_extensions/pull/2309>)
 
 ### Enhancements
 
 - Introduce channel_last parameter to improve the performance (<https://github.com/openvinotoolkit/training_extensions/pull/2205>)
-- Decrease a time for making a workspace (<https://github.com/openvinotoolkit/training_extensions/pull/2223>)
+- Decrease time for making a workspace (<https://github.com/openvinotoolkit/training_extensions/pull/2223>)
 - Set persistent_workers and pin_memory as True in detection task (<https://github.com/openvinotoolkit/training_extensions/pull/2224>)
-- New algorithm for Semi-SL semantic segmentation based on metric lerning via class prototypes (https://github.com/openvinotoolkit/training_extensions/pull/2156)
-- Self-SL for classification now can recieve just folder with any images to start contrastive pretraining (https://github.com/openvinotoolkit/training_extensions/pull/2219)
+- New algorithm for Semi-SL semantic segmentation based on metric learning via class prototypes (<https://github.com/openvinotoolkit/training_extensions/pull/2156>)
+- Self-SL for classification now can recieve just folder with any images to start contrastive pretraining (<https://github.com/openvinotoolkit/training_extensions/pull/2219>)
 - Update OpenVINO version to 2023.0, and NNCF verion to 2.5 (<https://github.com/openvinotoolkit/training_extensions/pull/2090>)
-- Improve XAI saliency map generation for tiling detection and tiling instance segmentation (https://github.com/openvinotoolkit/training_extensions/pull/2240)
+- Improve XAI saliency map generation for tiling detection and tiling instance segmentation (<https://github.com/openvinotoolkit/training_extensions/pull/2240>)
 
 ### Bug fixes
 

docs/source/guide/release_notes/index.rst

@@ -1,6 +1,19 @@
 Releases
 ========
 
+***************
+[v1.40] (3Q23)
+***************
+
+- Support encrypted dataset training
+- Add custom max iou assigner to prevent CPU OOM when large annotations are used
+- Auto train type detection for Semi-SL, Self-SL and Incremental: "--train-type" now is optional
+- Add per-class XAI saliency maps for Mask R-CNN model
+- Add new object detector Deformable DETR
+- Add new object detector DINO
+- Add new visual prompting task
+- Add new object detector ResNeXt101-ATSS
+
 ***************
 [v1.3.0] (2Q23)
 ***************