Referring camouflaged object detection (Ref-COD) is a recently-proposed problem aiming to
segment out specified camouflaged objects matched with a textual or visual reference. This …

In this paper, we consider the problem of referring camouflaged object detection (Ref-COD),
a new task that aims to segment specified camouflaged objects based on some form of …

Large Vision-Language Model (LVLM) has seen burgeoning development and increasing
attention recently. In this paper, we propose a novel framework, camo-perceptive vision …

Camouflage is a key defence mechanism across species that is critical to survival. Common
camouflage include background matching, imitating the color and pattern of the …

Abstract Camouflaged Object Detection (COD) aims to detect objects with high similarity to
the background. Unlike general object detection, COD is a more challenging task because …

Spotting objects that are visually adapted to their surroundings is challenging for both
humans and AI. Conventional generic/salient object detection techniques are suboptimal for …

Camouflaged object detection (COD) aims to identify the objects that conceal themselves in
natural scenes. Accurate COD suffers from a number of challenges associated with low …

Camouflaged object detection (COD) is a challenging task which aims to detect objects
similar to the surrounding environment. In this paper, we propose a transformer-induced …

Camouflaged object detection (COD), aiming to segment camouflaged objects which exhibit
similar patterns with the background, is a challenging task. Most existing works are …

Camouflaged Object Detection (COD) is a challenging task in computer vision due to the
high similarity between camouflaged objects and their surroundings. Existing COD methods …