Lihe Yang

Depth-Anything. [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

UniMatch. [CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

SenseEarth2020-ChangeDetection. 1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime

ST-PlusPlus. [CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

UniMatch-V2. [TPAMI 2025] UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation

FreeMask. [NeurIPS 2023] FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models

MiningFSS. [ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation

ShrinkMatch. [ICCV 2023] Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning

SigLIP-HD. [ICLR 2026] SigLIP-HD by Fine-to-Coarse Supervision

U-RISC. 2nd place solution to the Ultra-high Resolution EM Images Segmentation Challenge hosted by BAAI and PKU

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