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03/11/2023
Addressing Non-IID Problem in Federated Autonomous Driving with Contrastive Divergence Loss
Federated learning has been widely applied in autonomous driving since i...
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07/20/2022
Multigraph Topology Design for Cross-Silo Federated Learning
Cross-silo federated learning utilizes a few hundred reliable data silos...
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10/12/2021
Deep Federated Learning for Autonomous Driving
Autonomous driving is an active research topic in both academia and indu...
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10/06/2021
Coarse-to-Fine Reasoning for Visual Question Answering
Bridging the semantic gap between image and question is an important ste...
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05/19/2021
Multiple Meta-model Quantifying for Medical Visual Question Answering
Transfer learning is an important step to extract meaningful features an...
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04/14/2021
Graph-based Person Signature for Person Re-Identifications
The task of person re-identification (ReID) is to match images of the sa...
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09/23/2020
Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering
Different approaches have been proposed to Visual Question Answering (VQ...
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09/09/2020
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding
Unsupervised Deep Distance Metric Learning (UDML) aims to learn sample s...
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09/26/2019