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Misaligned visible-infrared object detection based on feature compensation and enhancement fusion
Misaligned visible-infrared object detection based on feature compensation and enhancement fusion
- “The visible light infrared dual-mode object detection has significant advantages in low light, complex and harsh scenes. The research team proposes a lightweight detection framework CEFNet, which breaks through the limitations of traditional pixel level forced alignment and provides an efficient solution for dual-mode object detection in non aligned scenes.”
- Optics and Precision Engineering Vol. 34, Issue 19, Pages: 3104-3118(2026)
DOI: 10.3724/OPE.20263419.3104
- CSTR: 32169.14.OPE.20263419.3104
Revised:2026-08-11
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