most citedGETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation

12 citations · 12 across the 1 of their papers we have counts for

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1 paper

cs.CV2021★ 12 cited

GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation

Weixuan Sun, Jing Zhang, Zheyuan Liu +2

Weakly Supervised Semantic Segmentation (WSSS) is challenging, particularly when image-level labels are used to supervise pixel level prediction. To bridge their gap, a Class Activ…