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Found 2 papers, 1 papers with code
WegFormer: Transformers for Weakly Supervised Semantic Segmentation
Although convolutional neural networks (CNNs) have achieved remarkable progress in weakly supervised semantic segmentation (WSSS), the effective receptive field of CNN is insufficient to capture global context information, leading to sub-optimal results.
MECPformer: Multi-estimations Complementary Patch with CNN-Transformers for Weakly Supervised Semantic Segmentation
Given a class, the initial seeds generated based on the transformer may invade regions belonging to other classes.
Weakly supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation
