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What is Joint Detection of Salient and Camouflaged Objects about?
This paper presents a novel approach to joint salient object detection (SOD) and camouflaged object detection (COD) by leveraging the contradictory information between the two tasks. It introduces a similarity measure module to model the contrasting attributes of SOD and COD, and employs an adversarial learning framework to enhance prediction uncertainty and robustness. Experimental results demonstrate that this method achieves state-of-the-art performance for both tasks, highlighting the effectiveness of d
- Author
- Trương Khanh
- Language
- EN