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Unified Unsupervised Salient Object Detection via Knowledge Transfer
April 24, 2024, 4:45 a.m. | Yao Yuan, Wutao Liu, Pan Gao, Qun Dai, Jie Qin
cs.CV updates on arXiv.org arxiv.org
Abstract: Recently, unsupervised salient object detection (USOD) has gained increasing attention due to its annotation-free nature. However, current methods mainly focus on specific tasks such as RGB and RGB-D, neglecting the potential for task migration. In this paper, we propose a unified USOD framework for generic USOD tasks. Firstly, we propose a Progressive Curriculum Learning-based Saliency Distilling (PCL-SD) mechanism to extract saliency cues from a pre-trained deep network. This mechanism starts with easy samples and progressively …
arxiv cs.cv detection knowledge object transfer type unsupervised via
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