Aug 1, 2023 · This paper proposes the attribute auxiliary clustering method for weakly supervised person re-identification work. It re-allocates the pseudo ...

Abstract. The main objective of the person re-identification task is to retrieve the specific identity under multiple non-overlapping camera scenarios.

Nov 21, 2024 · The main objective of the person re-identification task is to retrieve the specific identity under multiple non-overlapping camera scenarios ...

Mar 30, 2021 · We conduct extensive experiments on several person re-ID datasets to validate the efficacy of our proposed method. The results demonstrate that ...

In this paper, to attack the issues concerning with intra-class variation, we propose a coarse-to-fine Re-ID framework with the incorporation of auxiliary- ...

In this paper, we mainly explore pedestrian ReID based on deep learning, which use more advanced algorithms to extract discriminative features.

Thereby, this paper explores the potential of using the generated multiple person attributes as prompts in ReID tasks with off-the-shelf (large) models for more ...

We conduct extensive experiments on several person re-ID datasets to validate the efficacy of our proposed method. The results demonstrate that our technique is ...

Aug 14, 2024 · To make it clean, a novel Auxiliary Attribute Clustering (AAC) pipeline for unsupervised domain adaptive person re-ID is proposed to integrate ...

Jun 14, 2024 · An attribute-aware classification loss is introduced to perform fine-grained learning based on cluster labels, which are not shared among ...