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cs.CV2026
Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
Hang Du, Sicheng Zhang, Binzhu Xie +16
Video anomaly understanding (VAU) aims to automatically comprehend unusual occurrences in videos, thereby enabling various applications such as traffic surveillance and industrial…
cs.CV2025
SSPFusion: A Semantic Structure-Preserving Approach for Infrared and Visible Image Fusion
Qiao Yang, Yu Zhang, Yutong Chen +2
Most existing learning-based multi-modality image fusion (MMIF) methods suffer from significant structure inconsistency due to their inappropriate usage of structural features at t…
cs.CV2025
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images
Lei Yang, Guowu Yuan, Hao Zhou +3
Automatic object detection by satellite remote sensing images is of great significance for resource exploration and natural disaster assessment. To solve existing problems in remot…