44 citations · 46 across the 3 of their papers we have counts for
3 papers · 1 filter
Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation
Wangyu Wu, Tianhong Dai, Zhenhong Chen +4
Weakly Supervised Semantic Segmentation (WSSS) using only image-level labels has gained significant attention due to its cost-effectiveness. The typical framework involves using im…
Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation
Wangyu Wu, Tianhong Dai, Xiaowei Huang +2
Weakly Supervised Semantic Segmentation (WSSS) using only image-level labels has gained significant attention due to cost-effectiveness. Recently, Vision Transformer (ViT) based me…
Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation
Wangyu Wu, Tianhong Dai, Xiaowei Huang +2
Weakly-supervised semantic segmentation (WSSS), which aims to train segmentation models solely using image-level labels, has achieved significant attention. Existing methods primar…