Exploring X-Ray Prohibited Item Detection From Long-Tailed Learning Perspective
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3620642
Abstract: Existing X-ray prohibited item detection methods primarily focus on boosting the detection performance of uniformly distributed items. However, in the real-world scenarios, various prohibited items exhibit the long-tailed distribution, thus posing the huge challenge to… read more here.
Keywords: detection; ray prohibited; item detection; prohibited item ... See more keywords
AO-DETR: Anti-Overlapping DETR for X-Ray Prohibited Items Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3487833
Abstract: Prohibited item detection in X-ray images is one of the most essential and highly effective methods widely employed in various security inspection scenarios. Considering the significant overlapping phenomenon in X-ray prohibited item images, we propose… read more here.
Keywords: detection; prohibited items; ray prohibited; detr ... See more keywords