Leader-Based Multi-Scale Attention Deep Architecture for Person Re ...
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Jul 15, 2019 · Abstract: Person re-identification (re-id) aims to match people across non-overlapping camera views in a public space.
In this paper, we propose a deep re-id network (MuDeep) that is composed of two novel types of layers - a multi-scale deep learning layer, and a leader-based ...
Leader-based Multi-Scale Attention Deep Architecture for Person Re-identification. This repository contains the Pytorch implementation for the paper "Leader ...
Oct 3, 2019 · Extensive experiments are carried out to demonstrate that the proposed MuDeep outperforms the state-of-the-art on a number of benchmarks and has ...
This task consists of two sub-tasks, i.e., pedestrian detection [6], [7] and person re-identification (re-ID) [8], [9] . It requires locating the persons within ...
Feb 1, 2020 · A deep re-id network (MuDeep) that is composed of two novel types of layers – a multi-scale deep learning layer, and a leader-based ...
In this paper, we propose a deep re-id network (MuDeep) that is composed of two novel types of layers – a multi-scale deep learning layer, and a leader-based ...
Nov 23, 2019 · To address these issue, in this study, we introduce an attention deep architecture with multi-scale deep supervision for PReID. Technically, we ...
Missing: Leader- | Show results with:Leader-
A deep re-id network (MuDeep) that is composed of two novel types of layers – a multi-scale deep learning layer, and a leader-based attention learning layer ...
Abstract—As an important part of intelligent surveillance systems, person re-identification (PReID) has drawn wide attention of the public in recent years.