FcFNet: A Challenge-Based Feature Complementary Fusion Network for RGBT Tracking
RGBT tracking technology often struggles in noncooperative challenges, such as illumination variation, scale variation, fast motion, occlusion, and thermal crossover. In this work, we propose a novel RGBT tracking model, called challenge-based Feature complementary Fusion Network (FcFNet), especiall...
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Main Authors: | Wensheng Wang, Congjian Li, Di Zhang, Huihui Zhou, Mingli Xie, Haoran Zhou, Kun Fu |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10803956/ |
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