We present the first systematic study on concealed object detection (COD), which aims to
identify objects that are visually embedded in their background. The high intrinsic similarities …

It is challenging to accurately detect camouflaged objects from their highly similar
surroundings. Existing methods mainly leverage a single-stage detection fashion, while …

We present a comprehensive study on a new task named camouflaged object detection
(COD), which aims to identify objects that are" seamlessly" embedded in their surroundings …

Spotting camouflaged objects that are visually assimilated into the background is tricky for
both object detection algorithms and humans who are usually confused or cheated by the …

Camouflaged objects, similar to the background, show indefinable boundaries and
deceptive textures, which increases the difficulty of detection task and makes the model rely …

Camouflaged object detection (COD) aims to accurately detect objects hidden in the
surrounding environment. However, the existing COD methods mainly locate camouflaged …

Not all camouflages are equally effective, as even a partially visible contour or a slight color
difference can make the animal stand out and break its camouflage. In this paper, we …

Patch-Based Optimization for Image-Based Texture Mapping Page 1 Patch-Based Optimization
for Image-Based Texture Mapping SAI BI, University of California, San Diego NIMA KHADEMI …

The coleoid cephalopods (cuttlefish, octopus, and squid) are a group of soft-bodied mollusks
that exhibit a wealth of complex behaviors, including dynamic camouflage, object mimicry …

In the biosphere, camouflaged objects take the advantage of visional wholeness by keeping
the color and texture of the objects highly consistent with the background, thereby confusing …