Monocular obstacle avoidance with persistent Self-Supervised Learning

Raw data belonging to paper: Persistent self-supervised learning: from stereo to monocular vision for obstacle avoidance.

Figshare2018-02-01 更新10

Adversarial Self-Supervised Contrastive Learning

The authors propose a novel instance-wise adversarial perturbation method and a self-supervised contrastive learning framework to train an adversarially robust neural network without any class labels.

DataCite Commons2025-01-02 更新70

Supersizing Self-supervision: Learning to Grasp

A large-scale experimental study that increases the amount of data for learning to grasp, providing complete labeling in terms of whether an object can be grasped at a particular location and angle.

DataCite Commons2025-01-03 更新40