ST-SAM: SAM-Driven Self-Training Framework for Semi-Supervised Camouflaged Object Detection

Xihang Hu, Fuming Sun, Jiazhe Liu +2

Semi-supervised Camouflaged Object Detection (SSCOD) aims to reduce reliance on costly pixel-level annotations by leveraging limited annotated data and abundant unlabeled data. How…