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

作者：

Highlights：

• Novel RGB-T tracking algorithm based on modality difference reduction and effective information re-selection.

• Selectively promoting cross-modality feature interactions for modality difference reduction.

• Adaptively selecting discriminative multi-modal and unimodal features for RGB-T tracking.

• State-of-the-art performance on most popular RGB-T tracking benchmarks with real-time tracking speed.

摘要

•Novel RGB-T tracking algorithm based on modality difference reduction and effective information re-selection.•Selectively promoting cross-modality feature interactions for modality difference reduction.•Adaptively selecting discriminative multi-modal and unimodal features for RGB-T tracking.•State-of-the-art performance on most popular RGB-T tracking benchmarks with real-time tracking speed.

论文关键词：RGB-T tracking,Modality difference,Feature re-selection

论文评审过程：Received 14 June 2022, Revised 23 August 2022, Accepted 26 August 2022, Available online 20 September 2022, Version of Record 20 September 2022.

论文官网地址：https://doi.org/10.1016/j.imavis.2022.104547