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SotA/Methodology/Contrastive Learning/imagenet-1k

Contrastive Learning on imagenet-1k

Metric: ImageNet Top-1 Accuracy (higher is better)

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#Model↕ImageNet Top-1 Accuracy▼AugmentationsPaperDate↕Code
1ResNet5073.6NoMatrix Information Theory for Self-Supervised Le...2023-05-27Code
2ResNet5073NoWhat Makes for Good Views for Contrastive Learni...2020-05-20Code
3ResNet5071.1NoImproved Baselines with Momentum Contrastive Lea...2020-03-09Code
4ResNet5069.3NoA Simple Framework for Contrastive Learning of V...2020-02-13Code
5ResNet50 (v2)67.6NoPrototypical Contrastive Learning of Unsupervise...2020-05-11Code
6ResNet50 (v2)63.8NoData-Efficient Image Recognition with Contrastiv...2019-05-22Code
7ResNet5063.6NoSelf-Supervised Learning of Pretext-Invariant Re...2019-12-04Code
8ResNet5061.5NoSelf-labelling via simultaneous clustering and r...2019-11-13Code
9ResNet5061.5NoSelf-labelling via simultaneous clustering and r...2019-11-13Code
10ResNet50 (4×)61.3NoLarge Scale Adversarial Representation Learning2019-07-04Code
11ResNet5060.6NoMomentum Contrast for Unsupervised Visual Repres...2019-11-13Code
12ResNet5060.2NoLocal Aggregation for Unsupervised Learning of V...2019-03-29Code
13ResNet5056.5NoUnsupervised Feature Learning via Non-Parametric...2018-05-05Code
14 ResNet v2 10148.7NoData-Efficient Image Recognition with Contrastiv...2019-05-22Code