16 datasets found

The LibriLight dataset is a large-scale speech corpus used for self-supervised speech recognition tasks.

Self-supervised ASR-TTS models suffer in out-of-domain data conditions. Here we propose an enhanced ASR-TTS model that incorporates two main features: 1) The ASR→TTS direction...

Self-supervised learning of pretext-invariant representations.

Self-supervised visual representation learning framework for ranking random image views.

Geography-aware self-supervised learning

T-Drive dataset for learning task-agnostic feature representations of geographic locations from unlabeled GPS trajectories

Probe data for learning task-agnostic feature representations of geographic locations from unlabeled GPS trajectories

GPS trajectory dataset for learning task-agnostic feature representations of geographic locations from unlabeled GPS trajectories

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the ImageNet, Places205, and VOC07 datasets for evaluation.

Training speaker-discriminative and robust speaker verification systems without explicit speaker labels remains a persisting challenge. In this paper, we propose a new...

A simple data mixing prior for improving self-supervised learning.

Recent self-supervised visual representation methods are closing the gap with supervised learning performance. Most of these successful methods rely on maximizing the similarity...

The proposed method is a self-supervised learning approach for visual representation learning, which can explicitly capture the local context of an image while preserving the...

SSL4EO-S12: A large-scale, globally distributed, multi-temporal and multi-sensor dataset for self-supervised learning in Earth observation.

A self-supervised and semi-supervised learning for Mars segmentation dataset.

Self-supervised representation learning for Vision Transformers (ViT) to mitigate the greedy needs of ViT networks for very large fully-annotated datasets.