AIRHF-Net: an adaptive interaction representation hierarchical fusion network for occluded person re-identification

AIRHF-Net: an adaptive interaction representation hierarchical fusion network for occluded person re-identification

Abstract To tackle the high resource consumption in occluded person re-identification, sparse attention mechanisms based on Vision Transformers (ViTs) have become popular. However, they often suffer from performance degradation with long sequences, omission of crucial information, and token represen...

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Bibliographic Details
Main Authors: Shuze Geng, Qiudong Yu, Haowei Wang, Ziyi Song
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Occluded
Re-identification
Adaptive interaction
Hierarchical fusion
Online Access:https://doi.org/10.1038/s41598-024-76781-4
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https://doi.org/10.1038/s41598-024-76781-4

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