TriEP: Expansion-Pool TriHard Loss for Person Re-Identification

Article Computer Science, Artificial Intelligence

Identifying Visible Parts via Pose Estimation for Occluded Person Re-Identification

Jiaxu Miao et al.

Summary: This article addresses the occlusion problem in person re-identification, proposing to incorporate pose information into the re-id framework to eliminate noise information.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

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Article Engineering, Electrical & Electronic

Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification

Xiaokang Zhang et al.

Summary: In this article, a novel semantic-aware occlusion-robust network (SORN) is proposed to effectively address the challenges of occlusion in person re-identification tasks. Experimental results demonstrate the superiority of the proposed method in occluded and partial person re-identification compared to other state-of-the-art methods.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2021)

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Article Computer Science, Artificial Intelligence

Combination of validity aggregation and multi-scale feature for person re-identification

Zhi-yong Huang et al.

Summary: This study introduces a Validity aggregation and multi-scale feature extraction network (VMSFEN) to convey more interesting information using global and local features. The research focuses on addressing the issues of local feature misalignment and feature pairs contribution in re-identification tasks, achieving high accuracy rates.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)

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Article Computer Science, Information Systems

Parameter Sharing Exploration and Hetero-Center Triplet Loss for Visible-Thermal Person Re-Identification

Haijun Liu et al.

Summary: This paper investigates the parameter sharing of two-stream networks in visible-thermal cross-modality person re-identification and proposes a hetero-center triplet loss to improve the performance by relaxing the strict constraint of traditional triplet loss.

IEEE TRANSACTIONS ON MULTIMEDIA (2021)

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Article Computer Science, Information Systems