Sep 28, 2020 · This paper proposes a Divide-and-Unite Network to obtain feature embedding end-to-end. We design a deep network guided by image contents.

This paper proposes a Divide-and-Unite Network to obtain feature embedding end-to-end. We design a deep network guided by image contents.

HOB-net: high-order block network via deep metric learning for person re-identification · Computer Science. Applied Intelligence · 2021.

Sep 28, 2020 · We design a deep network guided by image contents, which divides pedestrians into parts and obtains the part features with different ...

A divide-and-unite deep network for person re-identification ; Journal: Applied Intelligence, 2020, № 3, p. 1479-1491 ; Publisher: Springer Science and Business ...

In this paper, we propose a novel ReID network that explores diverse and deep cues. The proposed network unites two stages, width channel attention (WCA) and ...

Apr 2, 2023 · Deep learning, particularly convolutional neural networks (CNNs), has significantly improved the accuracy of person Re-ID algorithms, by ...

A divide-and-unite deep network for person re-identification. Article. Full ... DeepReID: Deep Filter Pairing Neural Network for Person Re-identification.

This review evaluates numerous re-id techniques from multiple deep learning aspects such as deep architecture types, common Re-Id challenges, multi-modal ...

The main research goal of person Re-ID is to retrieve persons with the same identity from different cameras. However, traditional person Re-ID methods require ...