research
∙
10/30/2022
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
We introduce CAN, a simple, efficient and scalable method for self-super...
share
research
∙
12/01/2021
Object-Aware Cropping for Self-Supervised Learning
A core component of the recent success of self-supervised learning is cr...
research
∙
10/27/2021
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Unsupervised learning has recently made exceptional progress because of ...
research
∙
11/03/2020
Learning Visual Representations for Transfer Learning by Suppressing Texture
Recent literature has shown that features obtained from supervised train...
research
∙
10/16/2020
