14 datasets found

We develop techniques for refining representations for fine-grained classification and segmentation tasks in a self-supervised manner.

A self-supervised convolutional neural network for image watermark removal

A self-supervised spatiotemporal representation learning approach for videos, combining temporal coherence and future clip order ranking.

Self-supervised and semi-supervised learning for GANs

High-fidelity image generation with fewer labels

The dataset used in this paper is a collection of state-action pairs generated by a pre-trained RL agent, used to train a self-supervised interpretable network (SSINet) to...

The dataset used in this paper is a collection of state-action pairs generated by a pre-trained RL agent, used to train a self-supervised interpretable network (SSINet) to...

The dataset used in this paper is a collection of state-action pairs generated by a pre-trained RL agent, used to train a self-supervised interpretable network (SSINet) to...

Multi-modality MRI masked autoencoder for self-supervised learning of multi-modality MRI

The wav2vec 2.0 dataset is a self-supervised learning dataset for speech recognition tasks.

The dataset used in the paper for phoneme recognition and word discovery in dog vocalizations.

Self-supervised remote sensing images change detection at pixel-level.

Remote sensing image scene classification with self-supervised paradigm under limited labeled samples.

Self-supervised learning dataset for TransUNet pretraining