Standout Papers

ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation 2022 2026 2023 2024210
  1. ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation (2022)
    Lihe Yang, Wei Zhuo et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Immediate Impact

12 standout
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Citing Papers

Change-Agent: Toward Interactive Comprehensive Remote Sensing Change Interpretation and Analysis
2024 Standout
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation
2024 Standout
2 intermediate papers

Works of Lihe Yang being referenced

ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation
2022 Standout

Author Peers

Author Last Decade Papers Cites
Lihe Yang 7 1 125 82 47 3 220
Farhana Sultana 6 1 91 46 33 2 196
Liwei Wu 8 137 90 37 8 217
Guozhong Luo 15 135 49 33 3 208
Yanhong Luo 8 1 107 84 50 7 256
Mohammadreza Iman 14 2 59 86 18 3 279
Mayank Arya Chandra 8 4 50 57 24 3 251
Shangzhen Luan 9 1 166 43 57 3 262
Kan Wu 4 168 61 33 4 280
Li Wang 5 2 163 33 46 6 287
M. Radha 14 114 30 38 3 198

All Works

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2026