2 papers
cs.CV2024
Image to Pseudo-Episode: Boosting Few-Shot Segmentation by Unlabeled Data
Jie Zhang, Yuhan Li, Yude Wang +2
Few-shot segmentation (FSS) aims to train a model which can segment the object from novel classes with a few labeled samples. The insufficient generalization ability of models lead…
cs.CV2024
Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement
Zheng Yuan, Jie Zhang, Yude Wang +2
The attention mechanism has been proven effective on various visual tasks in recent years. In the semantic segmentation task, the attention mechanism is applied in various methods,…