Gaussian-based probability fusion for person re-identification with Taylor angular margin loss
- 30 July 2022
- journal article
- research article
- Published by Springer Nature in Neural Computing and Applications
- Vol. 34 (23) , 20639-20653
Abstract
No abstract availableKeywords
Funding Information
- National Key R &D Program of China (2020YFC2007200)
This publication has 47 references indexed in Scilit:
- Integration Convolutional Neural Network for Person Re-Identification in Camera NetworksIEEE Access, 2018
- Cross-View Discriminative Feature Learning for Person Re-IdentificationIEEE Transactions on Image Processing, 2018
- Additive Margin Softmax for Face VerificationIEEE Signal Processing Letters, 2018
- Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification2017
- Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion2017
- Performance Measures and a Data Set for Multi-target, Multi-camera Tracking2016
- Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification2016
- Scalable Person Re-identification: A Benchmark2015
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification2015
- DeepReID: Deep Filter Pairing Neural Network for Person Re-identification2014