Differential Feature Awareness Network Within Antagonistic Learning for Infrared-Visible Object Detection

• Published in: IEEE transactions on circuits and systems for video technology Vol. 34; no. 8; pp. 6735 - 6748
• Main Authors: Zhang, Ruiheng, Li, Lu, Zhang, Qi, Zhang, Jin, Xu, Lixin, Zhang, Baomin, Wang, Binglu
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Ablation; Algorithms; Data mining; Feature extraction; Image color analysis; Infrared-visible object detection; Learning; Modules; multi-modal feature fusion; Object detection; Object recognition; Pedestrians; Performance assessment; Semantics; Videos

The combination of infrared and visible videos aims to gather more comprehensive feature information from multiple sources and reach superior results on various practical tasks, such as detection and segmentation, over that of a single modality. However, most existing dual-modality object detection...