Feb 26, 2024 · In this paper, we propose hierarchical camera-aware contrast extension (HCACE) for unsupervised person Re-ID. Firstly, cognitive collaboration ...
Hierarchical Camera-Aware Contrast Extension for Unsupervised Person ...
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In this paper, we propose hierarchical camera-aware contrast extension (HCACE) for unsupervised person Re-ID. Firstly, cognitive collaboration contrast scheme ( ...
Unsupervised person re-identification is a computer vision task that involves identifying and matching individuals across different non-overlapping cameras ...
Sep 11, 2024 · Unsupervised person re-identification (Re-ID) aims to learn a feature network with cross-camera retrieval capability in unlabelled datasets.
Assisted with the camera-aware proxies, we design two proxy-level contrastive learning losses that are, respectively, based on offline and online association ...
Dec 19, 2021 · It can explicitly divide the learnable feature into camera-specific and camera-agnostic parts, reducing the influence of different cameras.
Missing: Hierarchical Extension
In this paper, we focus on purely unsupervised person re-ID, but our method can be easily generalized to unsupervised domain adaptation and camera-aware methods ...
Missing: Extension | Show results with:Extension
Oct 22, 2024 · This paper tackles the purely unsupervised person re-identification (Re-ID) problem that requires no annotations.
To resolve this issue, we present a camera contrast learning framework for unsupervised person Re-ID. Our method first proposes a time-based camera contrastive ...
Missing: Extension | Show results with:Extension
Nov 18, 2024 · We design an adaptive foreground enhancement module (AFEM), which can adaptively enhance the foreground pedestrian features of the input ...