AI RESEARCH
CAMotion: A High-Quality Benchmark for Camouflaged Moving Object Detection in the Wild
arXiv CS.CV
•
ArXi:2604.08287v1 Announce Type: new Discovering camouflaged objects is a challenging task in computer vision due to the high similarity between camouflaged objects and their surroundings. While the problem of camouflaged object detection over sequential video frames has received increasing attention, the scale and diversity of existing video camouflaged object detection (VCOD) datasets are greatly limited, which hinders the deeper analysis and broader evaluation of recent deep learning-based algorithms with data-hungry.