RGBT Tracking via Noise-Robust Cross-Modal Ranking

Author:

Li Chenglong1ORCID,Xiang Zhiqiang1ORCID,Tang Jin1ORCID,Luo Bin1ORCID,Wang Futian2

Affiliation:

1. Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei 230601, China, and also with the Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei 230601, China.

2. Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei 230601, China, and also with the Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei 230601, China (e-mail: wft@ahu.edu.cn)

Funder

Major Project for New Generation of AI

National Natural Science Foundation of China

Science and Technology Project of State Grid Anhui Electric Power Company Ltd.

Open Project Program of the National Laboratory of Pattern Recognition NLPR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

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2. Knowledge Synergy Learning for Multi-Modal Tracking;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

3. Cross-Modal Object Tracking via Modality-Aware Fusion Network and a Large-Scale Dataset;IEEE Transactions on Neural Networks and Learning Systems;2024

4. Transformer-Based Band Regrouping With Feature Refinement for Hyperspectral Object Tracking;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Global–Local Feature Fusion Network for Visible–Infrared Vehicle Detection;IEEE Geoscience and Remote Sensing Letters;2024

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