Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation
IEEE/CVF Winter Conference on Applications of Computer Vision（2025）
Key words
Active Learning,Semantic Segmentation,Computer Vision,Class Balance,Active Learning Methods,Maximum Aggregation,Boundary Pixels,Patch-based Methods,Training Set,Validation Set,Segmentation Method,Segmentation Model,Object Of Interest,Labeling Strategy,Background Pixels,Conditional Random Field,Single Label,Image X,PASCAL VOC,Unlabeled Images,PASCAL VOC Dataset,Underrepresented Classes,Weak Labels,Rectangular Patch,Appendix For More Details,Vision Transformer,Image Embedding,Sample Patches,Image Patches,Pseudo Labels
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