most citedSeparate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation

2 citations · 5 across the 5 of their papers we have counts for

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cs.CV2024★ 1 cited

Local Implicit Wavelet Transformer for Arbitrary-Scale Super-Resolution

Minghong Duan, Linhao Qu, Shaolei Liu +1

Implicit neural representations have recently demonstrated promising potential in arbitrary-scale Super-Resolution (SR) of images. Most existing methods predict the pixel in the SR…

cs.CV2024★ 2 cited

Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation

Zhiwei Yang, Kexue Fu, Minghong Duan +3

Weakly supervised semantic segmentation (WSSS) with image-level labels aims to achieve segmentation tasks without dense annotations. However, attributed to the frequent coupling of…