When Does Contrastive Visual Representation Learning Work?

Author:

Cole Elijah1,Yang Xuan2,Wilber Kimberly2,Aodha Oisin Mac3,Belongie Serge4

Affiliation:

1. Caltech

2. Google

3. University of Edinburgh

4. University of Copenhagen

Publisher

IEEE

Reference63 articles.

1. Demystifying contrastive self-supervised learning: Invariances, augmentations and dataset biases;purushwalkam;NeurIPS,2020

2. Unsupervised Representation Learning by Sorting Sequences

3. Contrasting contrastive selfsupervised representation learning pipelines;kotar;ICCV,2021

4. Supervised contrastive learning;khosla;NeurIPS,2020

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1. Masked autoencoder: influence of self-supervised pretraining on object segmentation in industrial images;Industrial Artificial Intelligence;2024-08-23

2. Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Self-Supervised Variational Contrastive Learning with Applications to Face Understanding;2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG);2024-05-27

4. Balanced And Discriminative Contrastive Learning For Class-Imbalanced Medical Images;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Dual-Dependency Attention Transformer for Fine-Grained Visual Classification;Sensors;2024-04-06

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