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most citedUCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer

45 citations · 69 across the 10 of their papers we have counts for

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cs.CV2024★ 2 cited

AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation

Haonan Wang, Qixiang Zhang, Yi Li +1

Semi-supervised semantic segmentation (SSSS) has been proposed to alleviate the burden of time-consuming pixel-level manual labeling, which leverages limited labeled data along wit…