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VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
April 2, 2024, 7:49 p.m. | Ziyang Luo, Nian Liu, Wangbo Zhao, Xuguang Yang, Dingwen Zhang, Deng-Ping Fan, Fahad Khan, Junwei Han
cs.CV updates on arXiv.org arxiv.org
Abstract: Salient object detection (SOD) and camouflaged object detection (COD) are related yet distinct binary mapping tasks. These tasks involve multiple modalities, sharing commonalities and unique cues. Existing research often employs intricate task-specific specialist models, potentially leading to redundancy and suboptimal results. We introduce VSCode, a generalist model with novel 2D prompt learning, to jointly address four SOD tasks and three COD tasks. We utilize VST as the foundation model and introduce 2D prompts within the …
arxiv cs.cv detection general object prompt prompt learning type visual vscode
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