AAR:Attention Remodulation for Weakly Supervised Semantic Segmentation

Weakly Supervised Semantic Segmentation is a crucial task in computer vision. However, existing methods that utilize Class Activation Maps (CAMs) with classification tasks can only identify a small part of the region. To address this limitation, we propose a novel Attention Activation Remodulation (...

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Veröffentlicht in:	The Journal of supercomputing 2024-05, Vol.80 (7), p.9096-9114
Hauptverfasser:	Lin, Yu-e, Li, Houguo, Liang, Xingzhu, Li, Mengfan, Liu, Huilin
Format:	Artikel
Sprache:	eng
Schlagworte:	Compilers Computer Science Computer vision Image segmentation Interpreters Modules Pixels Processor Architectures Programming Languages Remodulation Semantic segmentation
Online-Zugang:	Volltext
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