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03/13/2023
RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose
Recent studies on 2D pose estimation have achieved excellent performance...
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12/04/2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge
Deep Neural Networks (DNNs) have been ubiquitously adopted in internet o...
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12/18/2021
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
Deep neural networks (DNNs) have become ubiquitous techniques in mobile ...
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03/19/2021
Enhancing Robustness of On-line Learning Models on Highly Noisy Data
Classification algorithms have been widely adopted to detect anomalies f...
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07/10/2020
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels
Today's available datasets in the wild, e.g., from social media and open...
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11/11/2019
RAD: On-line Anomaly Detection for Highly Unreliable Data
Classification algorithms have been widely adopted to detect anomalies f...
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07/08/2019
