Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification

Author:

Remigereau Felix1,Mekhazni Djebril1,Abdoli Sajjad1,Nguyen-Meidine Le Thanh1,Cruz Rafael M. O.1,Granger Eric1

Affiliation:

1. Laboratoire d’Imagerie, de Vision et d’Intelligence Artificielle (LIVIA),ETS Montreal,Dept. of Systems Engineering,Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Reference28 articles.

1. Towards understanding ensemble, knowledge distillation and self-distillation in deep learning;allen-zhu,2020

2. Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training

3. Blendingtarget domain adaptation by adversarial meta-adaptation networks;chen;CVPR 2019,0

4. Unsupervised multi-target DA through knowledge distillation;nguyen-meidine;WACV 2021,0

5. Fd-gan: Pose-guided feature distilling gan for robust person reID;ge;NeurIPS 2018,0

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2. Research on a high-precision virtual scene generation algorithm;Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023);2024-04-01

3. Person re-identification method based on fine-grained feature fusion and self-attention mechanism;Computing;2024-03-25

4. A Video Target Re-Recognition Method Based on Adaptive Attention Enhancement and Multi-Scale Feature Fusion;IEEE Access;2024

5. Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

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