1 citations · 2 across the 8 of their papers we have counts for
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cs.CV2024★ 1 cited
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation
Soojin Jang, Jungmin Yun, Junehyoung Kwon +2
Weakly supervised semantic segmentation (WSSS) approaches typically rely on class activation maps (CAMs) for initial seed generation, which often fail to capture global context due…
cs.CV2024
Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation
JuneHyoung Kwon, Eunju Lee, Yunsung Cho +1
Weakly supervised semantic segmentation (WSSS) employing weak forms of labels has been actively studied to alleviate the annotation cost of acquiring pixel-level labels. However, c…
cs.CL2024★ 1 cited
GPTs Are Multilingual Annotators for Sequence Generation Tasks
Juhwan Choi, Eunju Lee, Kyohoon Jin +1
Data annotation is an essential step for constructing new datasets. However, the conventional approach of data annotation through crowdsourcing is both time-consuming and expensive…