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09/11/2023
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-supervised Skeleton-based Action Recognition
Contrastive learning has achieved great success in skeleton-based action...
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08/22/2023
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding
Self-supervised pretraining (SSP) has emerged as a popular technique in ...
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03/22/2023
Variantional autoencoder with decremental information bottleneck for disentanglement
One major challenge of disentanglement learning with variational autoenc...
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11/23/2022
ASiT: Audio Spectrogram vIsion Transformer for General Audio Representation
Vision transformers, which were originally developed for natural languag...
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11/23/2022
SS-CXR: Multitask Representation Learning using Self Supervised Pre-training from Chest X-Rays
Chest X-rays (CXRs) are a widely used imaging modality for the diagnosis...
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08/29/2022
SB-SSL: Slice-Based Self-Supervised Transformers for Knee Abnormality Classification from MRI
The availability of large scale data with high quality ground truth labe...
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05/30/2022
GMML is All you Need
Vision transformers have generated significant interest in the computer ...
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11/30/2021
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Self-supervised pretraining is the method of choice for natural language...
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04/08/2021