Camouflage Image

Camouflage image research focuses on understanding and manipulating visual perception by integrating objects into their backgrounds, impacting fields like object detection and image generation. Current research emphasizes developing large datasets and benchmark evaluations for camouflaged object detection (COD), exploring both traditional computer vision models and large language models (LLMs) for improved detection and generation of camouflage images. This work is significant because it addresses limitations in current object detection systems, particularly in challenging scenarios, and has implications for diverse applications, including military applications, wildlife conservation, and medical imaging. Furthermore, the development of generative models for camouflage image synthesis is improving the robustness of COD models.