Pinned Repositories
Depth-Anything-V2
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
FreeMask
[NeurIPS 2023] FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
MiningFSS
[ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation
SenseEarth2020-ChangeDetection
1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime
ShrinkMatch
[ICCV 2023] Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
ST-PlusPlus
[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
U-RISC
2nd place solution to the Ultra-high Resolution EM Images Segmentation Challenge hosted by BAAI and PKU
UniMatch
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
UniMatch-V2
[TPAMI 2025] UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
LiheYoung's Repositories
LiheYoung/Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
LiheYoung/UniMatch
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
LiheYoung/SenseEarth2020-ChangeDetection
1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime
LiheYoung/ST-PlusPlus
[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
LiheYoung/FreeMask
[NeurIPS 2023] FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
LiheYoung/UniMatch-V2
[TPAMI 2025] UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
LiheYoung/MiningFSS
[ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation
LiheYoung/ShrinkMatch
[ICCV 2023] Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
LiheYoung/U-RISC
2nd place solution to the Ultra-high Resolution EM Images Segmentation Challenge hosted by BAAI and PKU
LiheYoung/LiheYoung.github.io