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cs.CV2024
Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information
Qi Lai, Chi-Man Vong
Weakly supervised semantic segmentation (WSSS) aims at learning a semantic segmentation model with only image-level tags. Despite intensive research on deep learning approaches ove…
cs.CV2024★ 4 cited
Boosting Few-Shot Semantic Segmentation Via Segment Anything Model
Chen-Bin Feng, Qi Lai, Kangdao Liu +2
In semantic segmentation, accurate prediction masks are crucial for downstream tasks such as medical image analysis and image editing. Due to the lack of annotated data, few-shot s…