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Found 2 papers, 1 papers with code
Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark
In this paper, we provide a comprehensive study on a new task called collaborative camouflaged object detection (CoCOD), which aims to simultaneously detect camouflaged objects with the same properties from a group of relevant images.
Accurate Camouflaged Object Detection via Mixture Convolution and Interactive Fusion
Our method detects camouflaged objects with an effective fusion strategy, which aggregates the rich context information from a large receptive field.
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