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cs.CV2024
Revisiting Network Perturbation for Semi-Supervised Semantic Segmentation
Sien Li, Tao Wang, Ruizhe Hu +1
In semi-supervised semantic segmentation (SSS), weak-to-strong consistency regularization techniques are widely utilized in recent works, typically combined with input-level and fe…
cs.CV2023
Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation
Chengjia Jiang, Tao Wang, Sien Li +3
We address the problem of learning new classes for semantic segmentation models from few examples, which is challenging because of the following two reasons. Firstly, it is difficu…