Deep learning models, e.g. supervised Encoder-Decoder style networks, ex...
Using decentralized data for federated training is one promising emergin...
Due to the high human cost of annotation, it is non-trivial to curate a
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A label-efficient paradigm in computer vision is based on self-supervise...
Entanglement is a physical phenomenon, which has fueled recent successes...
The data-driven nature of deep learning models for semantic segmentation...
Segmentation algorithms of medical image volumes are widely studied for ...
With the increasing awareness of high-quality life, there is a growing n...