research
∙
08/29/2022
Federated Zero-Shot Learning with Mid-Level Semantic Knowledge Transfer
Conventional centralised deep learning paradigms are not feasible when d...
share
research
∙
06/20/2022
Self-Supervised Consistent Quantization for Fully Unsupervised Image Retrieval
Unsupervised image retrieval aims to learn an efficient retrieval system...
research
∙
06/02/2022
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling
Domain adaptation (DA) aims to transfer knowledge learned from a labeled...
research
∙
10/21/2021
Decentralised Person Re-Identification with Selective Knowledge Aggregation
Existing person re-identification (Re-ID) methods mostly follow a centra...
research
∙
06/07/2020
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification
Deep learning has been successful for many computer vision tasks due to ...
research
∙
06/07/2020