RGB-T tracking by modality difference reduction and feature re-selection

Author:

Zhang Qiang,Liu Xueru,Zhang Tianlu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference35 articles.

1. Dsiammft: an rgb-t fusion tracking method via dynamic siamese networks using multi-layer feature fusion;Zhang;Signal Process.: Image Commun.,2020

2. Learning discriminative update adaptive spatial-temporal regularized correlation filter for rgb-t tracking;Feng;J. Vis. Commun. Image Represent.,2020

3. Y. Zhu, C. Li, B. Luo, J. Tang, X. Wang, Dense feature aggregation and pruning for RGBT tracking, in: Proceedings of the 27th ACM International Conference on Multimedia, 2019, pp. 465–472.

4. C. Long Li, A. Lu, A. Hua Zheng, Z. Tu, J. Tang, Multi-adapter RGBT tracking, in: Proceedings of the IEEE Conference on Computer Vision Workshops, 2019.

5. L. Zhang, M. Danelljan, A. Gonzalez-Garcia, J. van de Weijer, F. Shahbaz Khan, Multi-modal fusion for end-to-end RGB-T tracking, in: Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019.

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