Skip to main navigation
Skip to search
Skip to main content
Hong Kong Baptist University Home
Help & FAQ
Home
Scholars
Departments / Units
Research Output
Projects / Grants
Prizes / Awards
Activities
Press/Media
Student theses
Datasets
Search by expertise, name or affiliation
PurifyNet: A Robust Person Re-Identification Model with Noisy Labels
Mang Ye,
Pong Chi YUEN
*
*
Corresponding author for this work
Department of Computer Science
Research output
:
Contribution to journal
›
Journal article
›
peer-review
83
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'PurifyNet: A Robust Person Re-Identification Model with Noisy Labels'. Together they form a unique fingerprint.
Sort by:
Weight
Alphabetically
Keyphrases
Person Re-identification
100%
Noisy Labels
100%
Label Noise
100%
Identification Model
100%
Re-identification
66%
Identification Task
66%
Training Samples
33%
Training Data
33%
Neural Network
33%
Identification Method
33%
Negative Impact
33%
Deep Learning Methods
33%
Instance Reweighting
33%
Hard Samples
33%
Reweighting Strategy
33%
Video-based
33%
Hard Sample Mining
33%
Image Classification
33%
Deep Model
33%
Logit
33%
Industrial Application
33%
Discriminative Feature Representation
33%
Wrong Labels
33%
Robust Deep Learning
33%
Noise Problem
33%
Computer Science
Person Re-Identification
100%
Identification Model
100%
Reidentification
66%
Training Sample
33%
Training Data
33%
Deep Learning Method
33%
Image Classification
33%
Negative Impact
33%
Annotation
33%
Discriminative Feature
33%
Neural Network
33%
Industrial Application
33%