Dec 22, 2021 · This letter proposes a band regrouping and response-level fusion network (BRRF-Net) for hyperspectral object tracking based on deep transfer ...

This paper proposes a band regrouping and response-level fusion network (BRRF-Net) for hyperspectral object tracking based on deep transfer learning, employing ...

This paper proposes a band regrouping and response-level fusion network (BRRF-Net) for hyperspectral object tracking based on deep transfer learning, employing ...

Complete Source Code · Complete Documentation · Complete Presentation Slides · Flow Diagram · Database File · Screenshots · Execution Procedure · Readme File ...

Nov 27, 2024 · Extracting the unique spectral and spatial features of hyperspectral images (HSIs) can significantly improve tracking performance in complex ...

A transformer-based band regrouping and feature refinement network (TBR-Net) is introduced, which is specifically tailored for hyperspectral object tracking ...

This article proposes a novel hyperspectral video object tracker via fusing material and motion cues called SENSE that leverages both material and motion cues.

Hu, “Band regrouping and response-level fusion for end-to-end hyperspectral object tracking,”. IEEE Geosci. Remote Sens. Lett., vol. 19, pp. 1–5, 2022. [19] ...

Abstract—Hyperspectral videos contain a larger number of spectral bands, providing extensive spectral information and material identification capabilities.

Oct 22, 2024 · In this paper, a Transformer-based Band Regrouping and Feature Refinement Network (TBR-Net) is introduced, which is specifically tailored for ...