Few-Shot Classification with Contrastive Learning
- 20 October 2022
- book chapter
- Published by Springer Nature
- p. 293-309
Abstract
No abstract availableKeywords
All Related Versions
This publication has 27 references indexed in Scilit:
- Boosting Few-Shot Visual Learning With Self-Supervision2019
- Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training2019
- Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning2019
- Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning2019
- Meta-Learning With Differentiable Convex Optimization2019
- AutoAugment: Learning Augmentation Strategies From Data2019
- Learning to Compare: Relation Network for Few-Shot Learning2018
- Unsupervised Feature Learning via Non-parametric Instance Discrimination2018
- Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles2016
- Deep Residual Learning for Image Recognition2016