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Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation
April 2, 2024, 7:48 p.m. | Beomyoung Kim, Donghyeon Kim, Sung Ju Hwang
cs.CV updates on arXiv.org arxiv.org
Abstract: This paper presents a fresh perspective on the role of saliency maps in weakly-supervised semantic segmentation (WSSS) and offers new insights and research directions based on our empirical findings. We conduct comprehensive experiments and observe that the quality of the saliency map is a critical factor in saliency-guided WSSS approaches. Nonetheless, we find that the saliency maps used in previous works are often arbitrarily chosen, despite their significant impact on WSSS. Additionally, we observe that …
abstract arxiv cs.cv insights map maps observe paper perspective quality research role segmentation semantic type weakly-supervised
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