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We propose a dual-modal model (DMM), consisting of a main stream that inputs RGB images, and an auxiliary stream that inputs other modal images, to explore how ...
In this article, a Dual‐modal Graph Attention Interaction Network (Dual‐GAIN) is proposed to integrate visual features and textual features into a heterogeneous ...
Jan 10, 2024 · Visible-infrared person re-identification (VI-ReID) aims to identify the same person across visible and infrared images.
Jul 9, 2024 · Person Re-Identification (ReID) is a technology aimed at retrieving and identifying individuals in person images across different camera views [ ...
Multimodal large language models (MLLM) have achieved satisfactory results in many tasks. How- ever, their performance in the task of ReID (ReID).
Missing: DMM: | Show results with:DMM:
Apr 15, 2023 · This paper proposed a dual-branch person re-identification algorithm based on multi-scale and multi-granularity branches to obtain complete ...
Jun 13, 2024 · Person re-identification (ReID) is designed to match pedestrian images across diverse camera feeds to a specific identity. ReID has attracted ...
Missing: DMM: | Show results with:DMM:
Aug 1, 2023 · To address this limitation, this paper introduces a new method called the Dual Descriptor Feature Enhancement (DDFE) network, which aims to ...
Missing: DMM: | Show results with:DMM:
Image Generation (ID-PIG) network changes the pose and illumination attributes while maintaining the identity characteristic of a specific person. Modality ...
In this paper, we propose a multi-model uniform deep learning (MMUDL) method for RGB-D person re-identification. Unlike most existing person ...