Papers › Mixed High-Order Attention Network for Person Re-Identification

Mixed High-Order Attention Network for Person Re-Identification

16 Aug 2019ICCV 2019 10arXiv:1908.05819archive 2025-07-28

Binghui Chen, Weihong Deng, Jiani Hu

Attention has become more attractive in person reidentification (ReID) as it is capable of biasing the allocation of available resources towards the most informative parts of an input signal. However, state-of-the-art works concentrate only on coarse or first-order attention design, e.g. spatial and channels attention, while rarely exploring higher-order attention mechanism. We take a step towards addressing this problem. In this paper, we first propose the High-Order Attention (HOA) module to model and utilize the complex and high-order statistics information in attention mechanism, so as to capture the subtle differences among pedestrians and to produce the discriminative attention proposals. Then, rethinking person ReID as a zero-shot learning problem, we propose the Mixed High-Order Attention Network (MHN) to further enhance the discrimination and richness of attention knowledge in an explicit manner. Extensive experiments have been conducted to validate the superiority of our MHN for person ReID over a wide variety of state-of-the-art methods on three large-scale datasets, including Market-1501, DukeMTMC-ReID and CUHK03-NP. Code is available at http://www.bhchen.cn/.

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chenbinghui1/MHN officialpytorch report

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Tasks

Person Re-IdentificationVocal Bursts Intensity PredictionZero-Shot Learning

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Person Re-Identification CUHK03-C MHN Rank-1 8.27 #4 of 8 Archive leaderboard report
Person Re-Identification CUHK03-C MHN mAP 3.97 #4 of 8 Archive leaderboard report
Person Re-Identification CUHK03-C MHN mINP 0.46 #4 of 8 Archive leaderboard report
Person Re-Identification Market-1501-C MHN Rank-1 33.29 #9 of 22 Archive leaderboard report
Person Re-Identification Market-1501-C MHN mAP 10.69 #9 of 22 Archive leaderboard report
Person Re-Identification Market-1501-C MHN mINP 0.38 #9 of 22 Archive leaderboard report

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