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09/21/2023
Multi-level Asymmetric Contrastive Learning for Medical Image Segmentation Pre-training
Contrastive learning, which is a powerful technique for learning image-l...
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08/05/2023
Self-Distillation Network with Ensemble Prototypes: Learning Robust Speaker Representations without Supervision
Training speaker-discriminative and robust speaker verification systems ...
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05/21/2023
Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction
For speech interaction, voice activity detection (VAD) is often used as ...
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02/18/2023
One-Pot Multi-Frame Denoising
The performance of learning-based denoising largely depends on clean sup...
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12/16/2022
Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation
Multi-modal and multi-hop question answering aims to answer a question b...
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09/05/2022
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
Convolutional Neural Networks (CNNs) are widely used in fault diagnosis ...
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12/29/2021
Background-aware Classification Activation Map for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) relaxes the requirement of ...
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05/30/2021
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks
The concept of Federated Learning has emerged as a convergence of distri...
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08/19/2019
