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Data-Efficient Image Recognition with Contrastive Predictive Coding

著者: Olivier J. Hénaff - International Conference on Machine Learning, ICML 2020 被引用: 177

BYOL works even withoutbatch statisticsBYOL works even without batch statisticsAn Image is Worth 16x16Words: Transformers for…An Image is Worth 16x16 Words: Transformers for Image Recognition at ScalePropagate Yourself:Exploring Pixel-Level…Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation LearningContrastive Learning forCompact Single Image…Contrastive Learning for Compact Single Image DehazingBehavior From the Void:Unsupervised Active…Behavior From the Void: Unsupervised Active Pre-TrainingAn Empirical Study ofGraph Contrastive…An Empirical Study of Graph Contrastive LearningExploring Cross-ImagePixel Contrast for…Exploring Cross-Image Pixel Contrast for Semantic SegmentationProvable Guarantees forSelf-Supervised Deep…Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive LossVICReg:Variance-Invariance-Cov…VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised LearningLearning to Prompt forVision-Language ModelsLearning to Prompt for Vision-Language ModelsVector-quantized ImageModeling with Improved…Vector-quantized Image Modeling with Improved VQGANImage2Point: 3DPoint-Cloud…Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained ModelsData-Efficient ImageRecognition with…Data-Efficient Image Recognition with Contrastive Predictive Coding中心の論文この論文を引用する論文古い新しい

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