most citedAdaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.CV2021★ 4 cited

Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation

Xiangrong Zhang, Zelin Peng, Peng Zhu +4

Semantic segmentation has been continuously investigated in the last ten years, and majority of the established technologies are based on supervised models. In recent years, image-…