Toward Deeper Understanding of Camouflaged Object Detection

• Published in: IEEE transactions on circuits and systems for video technology Vol. 33; no. 7; pp. 3462 - 3476
• Main Authors: Lv, Yunqiu, Zhang, Jing, Dai, Yuchao, Li, Aixuan, Barnes, Nick, Fan, Deng-Ping
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Animals; Annotations; camouflage ranking; Camouflaged object detection; camouflaged object localization; Datasets; Image color analysis; Image edge detection; Learning; Localization; Location awareness; Object detection; Object recognition; Predators; Ranking; Segmentation; Segments; Task analysis

Preys in the wild evolve to be camouflaged to avoid being recognized by predators. In this way, camouflage acts as a key defence mechanism across species that is critical to survival. To detect and segment the whole scope of a camouflaged object, camouflaged object detection (COD) is introduced as a...