5 papers
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…
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…
Classification of Solar Radio Spectrum Based on Swin Transformer
Jian Chen, Guowu Yuan, Hao Zhou +3
Solar radio observation is a method used to study the Sun. It is very important for space weather early warning and solar physics research to automatically classify solar radio spe…
Self-Supervised Learning for Solar Radio Spectrum Classification
Siqi Li, Guowu Yuan, Jian Chen +2
Solar radio observation is an important way to study the Sun. Solar radio bursts contain important information about solar activity. Therefore, real-time automatic detection and cl…
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…