12 datasets found

Self-supervised adversarial masking for 3D point cloud representation learning

The LeBenchmark7K dataset is a self-supervised representation of French speech.

Contrastive learning is one of the most successful paradigms for self-supervised learning (SSL). In a principled way, it considers two augmented views of the same image as...

Adaptive Multi-head Contrastive Learning (AMCL) framework, which tackles intra- and inter-sample similarity and adaptive temperature mechanism re-weighting each similarity pair.

Contrastive multiview coding.

Prototypical contrastive learning of unsupervised representations.

A simple framework for contrastive learning of visual representations.

Contrastive self-supervised learning (CSL) with a prototypical regularization has been introduced in learning meaningful representations for downstream tasks that require strong...

Self-supervised learning: Generative or contrastive.

Footpath mapping, modeling, and analysis can provide important geospatial insights to many fields of study, including transport, health, environment and urban planning.

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

Self-supervised monocular depth estimation has gathered no-table interest since it can liberate training from dependency on depth annotations. In monocular video training case,...