Key point-aware occlusion suppression and semantic alignment for occluded person re-identification
Authors:
- Shujuan WangSWShujuan Wang
- Bochun HuangBHBochun Huang
- Huafeng LiHLHuafeng Li
- Guanqiu QiGQGuanqiu Qi
- Dapeng TaoDTDapeng Tao
- Zhengtao YuZYZhengtao Yu
- 28 May 2022
- journal article
- research article
- Published by Elsevier in Information Sciences
- Vol. 606, 669-687
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61562053, 61772455, 61962032, 61966021)
- National Key Research and Development Program of China (2018YFC0830100, 2018YFC0830105)
This publication has 27 references indexed in Scilit:
- STNReID: Deep Convolutional Networks With Pairwise Spatial Transformer Networks for Partial Person Re-IdentificationIEEE Transactions on Multimedia, 2020
- Person Reidentification via Multi-Feature Fusion With Adaptive Graph LearningIEEE Transactions on Neural Networks and Learning Systems, 2019
- Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification2019
- Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification2019
- Discriminative Feature Learning With Foreground Attention for Person Re-IdentificationIEEE Transactions on Image Processing, 2019
- Part-Aligned Bilinear Representations for Person Re-identification2018
- Occluded Person Re-Identification2018
- Scalable Person Re-identification: A Benchmark2015
- Partial Person Re-Identification2015
- Compound Rank- $k$ Projections for Bilinear AnalysisIEEE Transactions on Neural Networks and Learning Systems, 2015