Global-Local Aggregation with Deformable Point Sampling for Camouflaged Object Detection. (arXiv:2211.12048v1 [cs.CV])

The camouflaged object detection (COD) task aims to find and segment objects
that have a color or texture that is very similar to that of the background.
Despite the difficulties of the task, COD is attracting attention in medical,
lifesaving, and anti-military fields. To overcome the difficulties of COD, we
propose a novel global-local aggregation architecture with a deformable point
sampling method. Further, we propose a global-local aggregation transformer
that integrates an object's global information, background, and boundary local
information, …

aggregation arxiv detection global sampling