1 |
Pathak et al., Context Encoders: Feature Learning by Inpainting, CVPR, 2016
|
2 |
Chen et al., A Simple Framework for Contrastive Learning of Visual Representations, ICML, 2020
|
3 |
Z. Wu et al., Unsupervised Feature Learning via Non-Parametric Instance Discrimination, CVPR, 2018
|
4 |
I. Misra et al., Self-Supervised Learning of Pretext-Invariant Representations, CVPR, 2020
|
5 |
K. He et al., Momentum Contrast for Unsupervised Visual Representation Learning, CVPR, 2020
|
6 |
J. B. Grill et al., Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning, NeurIPS, 2020
|
7 |
M. Caron et al., SwAV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments, NeurIPS, 2020
|
8 |
X. Chen and K. He, Exploring Simple Siamese Representation Learning, CVPR, 2021
|
9 |
K. He et al., Masked Autoencoders Are Scalable Vision Learners, ICCV, 2021
|
10 |
S. Atito et al., SiT: Self-Supervised Vision Transformer, ArXiv, 2021
|
11 |
L.A. Gatys et al., Texture and art with deep neural networks, Neurobiology, 2017
|
12 |
R. Geirhos et al., ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness, ICLR 2019
|
13 |
Dosovitskiy et al., Discriminative Unsupervised Feaature Learning with Exemplar Convolutional Neural Networks, NIPS, 2014
|
14 |
Gidaris et al., Unsupervised Representation Learning by Predicting Image Rotations, ICLR, 2018
|
15 |
M. Caron et al., Emerging Properties in Self-Supervised Vision Transformers, ArXiv, 2021
|
16 |
H. Bao et al., BEIT: BERT Pre-Training of Image Transformers, ICCV, 2021
|
17 |
Norrozi et al., Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles, ECCV, 2016
|
18 |
J. Devlin et al., BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, NAACL, 2019
|
19 |
Misra and Maaten, Self-Supervised Learning of Pretext-Invariant Representations, ArXiv, 2020
|
20 |
Doersch et al., Unsupervised Visual Representation Learning by Context Prediction, ICCV, 2015
|
21 |
Zhang et al., Colorful Image Colorization, ECCV, 2016
|