Based on this, we propose a multi-scale relation aware network (MSRA) for person re-identification. Specifically, we design an attribute relation mining module ...
Whether a person becomes a courageous resister depends on how he or she reacts upon becoming aware of grave injustice. People must decide whether to ...
A Multi-Level Relation-Aware Transformer model for occluded ...
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May 9, 2024 · We design a Patch-Level Relation-Aware Module that adopts a model-free method to identify key patches and integrates a two-layer GCN to learn ...
It is an efficient way for multi-level feature learning, where features from different layers of the network are all mapped to the final feature map.
aims to match a specific person across different times, places, or cameras, which has drawn a surge of interests from both industry and academia.
In this paper, we propose a novel Multi-level Position-aware Global Attention Network (MPGA-Net), which uses a simple but effective framework to introduce ...
Jul 27, 2023 · Unsupervised person re-identification works mainly rely on feature representation learning. In recent years, many methods have used ...
For this purpose, we propose a Multi-level Salient Feature Mining Network (MSFM-Net). First, by embedding attention modules in ResNet50, the model extract the ...
In this paper, we propose selective relation-aware representations (SRAR) for person Re-ID. The framework of SRAR mainly consists of a distinctive attention ...
Multi-Level Relation Aware Network for Person Re-Identification · J. YANG et. al. (Go back to Expert Search). Related Experts. Rank, Expert, #Related Grants ...