Decoupling and Integration Network for Camouflaged Object Detection

Recently, camouflaged object detection (COD), which suffers from numerous challenges such as low contrast between camouflaged objects and background and large variations of camouflaged object appearances, has received more and more concerns. However, the performance of existing camouflaged object detection methods is still unsatisfactory, especially when dealing with complex scenes. Therefore, in this paper, we propose a novel Decoupling and Integration Network (DINet) to detect camouflaged objects. Here, the depiction of camouflaged objects can be regarded as the iterative decoupling and integration of the body features and detail features, where the former focuses on the center of camouflaged objects and the…

• NN
  National Natural Science Foundation of China

  Award: 62271180
• TS
  Taishan Scholar Project of Shandong Province

  Award: tsqn202306079
• FR
  Fundamental Research Funds for the Provincial Universities of Zhejiang

  Award: GK229909299001-009