Oct 17, 2021 · Most existing cluster-based cross-domain person re-identification (re-id) methods only pre-train the re-id model on the source domain.
Oct 24, 2021 · Most existing cluster-based cross-domain person re-identification. (re-id) methods only pre-train the re-id model on the source do- main.
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A novel Self- supervised Pre-training method on the Target Domain (SPTD), which pre-trains the model on both the source and target domains in a ...
[PDF] CDS: Cross-Domain Self-Supervised Pre-Training - CVF Open Access
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We apply our method as a second pre-training step (after ImageNet pre- training), resulting in a significant target accuracy boost to diverse domain transfer ...
Missing: Person | Show results with:Person
In person re-identification (ReID), very recent researches have validated pre-training the models on unlabelled person images is much better than on ImageNet.
We propose a novel pre-training approach called Cross-Domain Self-supervision (CDS), which directly employs unlabeled multi-domain data for downstream domain ...
Missing: Re- identification.
Note that CDS [40] proposes a second self-supervised pre-training stage using the unlabeled downstream data from multiple domains, which applies instance ...
In person re-identification (ReID), very recent researches have validated pre-training the models on unlabelled person images is much better than on ImageNet.
Feb 15, 2023 · We perform studies on 2 domains of object ReID, i.e., person and vehicle ReID, where person ReID domain involves four datasets (Market-1501, ...
Feb 3, 2024 · In this paper, we study a new problem of cross-domain video based person re-identification (Re-ID). Specifically,.
Missing: Pre- | Show results with:Pre-