上流社会
发表于 2025-3-30 11:07:31
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开始发作
发表于 2025-3-30 16:13:07
https://doi.org/10.1007/978-3-031-20325-1they usually suffer from the over-expansion due to an absence of guidelines on when to stop erasing. We experimentally verify that the over-expansion is due to rigid classification, and metric learning can be a flexible remedy for it. AEFT is devised to learn the concept of erasing with the triplet
GOUGE
发表于 2025-3-30 16:56:05
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补角
发表于 2025-3-31 00:03:04
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BARGE
发表于 2025-3-31 01:27:00
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organic-matrix
发表于 2025-3-31 08:22:53
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coalition
发表于 2025-3-31 11:05:36
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和平
发表于 2025-3-31 13:21:46
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松紧带
发表于 2025-3-31 20:17:23
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Essential
发表于 2025-4-1 00:09:38
,Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation,strategy to adaptively generate thresholds to divide the foreground and background. Benefiting from high-quality initial pseudo-labels by Spatial-BCE Loss, our method also reduce the reliance on post-processing, thereby simplifying the pipeline of WSSS. Our method is validated on the PASCAL VOC 2012