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cs.CV2026
OneFocus: Enabling Real-World X-ray Security Screening with a Unified Vision-Language Model
Jiali Wen, Hongxia Gao, Litao Li +4
X-ray contraband detection is critical for security in large-scale logistics and transportation, yet conventional detectors struggle to adapt to emerging contraband types and lack…
cs.CV2026
XSeg: A Large-scale X-ray Contraband Segmentation Benchmark For Real-World Security Screening
Hongxia Gao, Litao Li, Yixin Chen +3
X-ray contraband detection is critical for public safety. However, current methods primarily rely on bounding box annotations, which limit model generalization and performance due…
cs.CV2026
Unbiased Dynamic Multimodal Fusion
Shicai Wei, Kaijie Zhang, Luyi Chen +2
Traditional multimodal methods often assume static modality quality, which limits their adaptability in dynamic real-world scenarios. Thus, dynamical multimodal methods are propose…