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Federated Alternate Training (FAT)
Federated Alternate Training (FAT) framework leverages unannotated data silos in federated segmentation for medical imaging. -
Same Same but Different: Semi-Supervised Defect Detection with Normalizing Flows
Same same but different: Semi-supervised defect detection with normalizing flows. -
Semi-supervised speaker adaptation for end-to-end speech synthesis
A dataset for semi-supervised speaker adaptation for end-to-end speech synthesis with pre-trained models. -
Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recogn...
EEG-based emotion recognition often requires sufficient labeled training samples to build an effective computational model. Labeling EEG data, on the other hand, is often... -
DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative A...
Propose an action recognition framework using Generative Adversarial Networks. Our model involves training a deep convolutional generative adversarial network (DCGAN) using a... -
S5Mars: Self-supervised and semi-supervised learning for Mars segmentation
A self-supervised and semi-supervised learning for Mars segmentation dataset.