1 citations · 2 across the 5 of their papers we have counts for
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Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation
Beomyoung Kim, Donghyun Kim, Sung Ju Hwang
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…
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting
Beomyoung Kim, Myeong Yeon Yi, Joonsang Yu +2
This paper presents a new practical training method for human matting, which demands delicate pixel-level human region identification and significantly laborious annotations. To re…
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning
Beomyoung Kim, Joonsang Yu, Sung Ju Hwang
Panoptic segmentation, combining semantic and instance segmentation, stands as a cutting-edge computer vision task. Despite recent progress with deep learning models, the dynamic n…