research
∙
04/04/2023
Black Box Few-Shot Adaptation for Vision-Language models
Vision-Language (V-L) models trained with contrastive learning to align ...
share
research
∙
12/26/2020
Spatial Contrastive Learning for Few-Shot Classification
Existing few-shot classification methods rely to some degree on the cros...
research
∙
07/16/2020
Autoregressive Unsupervised Image Segmentation
In this work, we propose a new unsupervised image segmentation approach ...
research
∙
06/25/2020
Target Consistency for Domain Adaptation: when Robustness meets Transferability
Learning Invariant Representations has been successfully applied for rec...
research
∙
06/09/2020
An Overview of Deep Semi-Supervised Learning
Deep neural networks demonstrated their ability to provide remarkable pe...
research
∙
03/19/2020
