We propose a hybrid-attention guided network with multiple resolution features for person re-ID. First, we construct a multi-resolution fusion strategy.
Sep 16, 2020 � We put forward a novel person re-ID model that fuses high- and low-level embeddings to reduce the information loss caused in learning high-level features.
Extracting effective and discriminative features is highly important for addressing the challenges of person re-identification (re-ID).
Sep 8, 2024 � Extracting effective and discriminative features is very important for addressing the challenging person re-identification (re-ID) task.
Hybrid-Attention Guided Network with Multiple Resolution Features ...
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A novel Multi-biometric Unified Network (MBUNet) is proposed for learning the robustness of cloth-changing re-ID model by exploiting clothing-independent�...
Extracting effective and discriminative features is highly important for addressing the challenges of person re-identification (re-ID).
Extracting effective and discriminative features is highly important for addressing the challenges of person re-identification (re-ID).
Person re-identification (Re-ID) aims to locate the same target across different cameras and locations, finding applications in video surveillance and criminal�...
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This is a repository for organizing codes related to re-identification (especially state-of-the-art reid methods). - Comprehensive_reID_Baseline/README.md�...
Resource aware person re-identification across multiple resolutions. In Proceedings of the IEEE Con- ference on Computer Vision and Pattern Recognition�...