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Datasets/STL-10 (1000 Labels, ImageNet-100 Unlabeled)

STL-10 (1000 Labels, ImageNet-100 Unlabeled)

Benchmarks

Image Classification/Accuracy Semi-Supervised Image Classification/Accuracy

Related Benchmarks

STL-10/Anomaly Detection/AUC-ROC STL-10/Anomaly Detection/ROC AUC STL-10/AutoML/Accuracy (%)STL-10/AutoML/FLOPS STL-10/AutoML/PARAMS STL-10/Contrastive Learning/Accuracy (Top-1)STL-10/Fine-Grained Image Classification/Accuracy STL-10/Image Classification/Accuracy STL-10/Image Classification/Accuracy STL-10/Image Classification/FLOPS STL-10/Image Classification/PARAMS STL-10/Image Classification/Percentage correct STL-10/Image Clustering/ARI STL-10/Image Clustering/Accuracy STL-10/Image Clustering/Backbone STL-10/Image Clustering/NMI STL-10/Image Clustering/Train Split STL-10/Image Compression/Bit rate STL-10/Image Generation/FID STL-10/Image Generation/Inception score STL-10/Image Generation/Model Size (MB)STL-10/Image Generation/NFE STL-10/Image Generation/Recall STL-10/Neural Architecture Search/Accuracy (%)STL-10/Neural Architecture Search/FLOPS STL-10/Neural Architecture Search/PARAMS STL-10/Out-of-Distribution Detection/Percentage correct STL-10/Self-Supervised Learning/Accuracy STL-10/Semi-Supervised Image Classification/Accuracy STL-10/Unsupervised Anomaly Detection/AUC-ROC STL-10/Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomaly/AUC-ROC STL-10/Unsupervised Anomaly Detection with Specified Settings -- 1% anomaly/AUC-ROC STL-10/Unsupervised Anomaly Detection with Specified Settings -- 10% anomaly/AUC-ROC STL-10/Unsupervised Anomaly Detection with Specified Settings -- 20% anomaly/AUC-ROC STL-10/Unsupervised Anomaly Detection with Specified Settings -- 30% anomaly/AUC-ROC STL-10, 1000 Labels/Image Classification/Accuracy STL-10, 1000 Labels/Semi-Supervised Image Classification/Accuracy STL-10, 40 Labels/Image Classification/Accuracy STL-10, 40 Labels/Semi-Supervised Image Classification/Accuracy STL-10, 5000 Labels/Image Classification/Accuracy STL-10, 5000 Labels/Semi-Supervised Image Classification/Accuracy

Statistics

Papers: 0
Benchmarks: 2

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Tasks

Image Classification Semi-Supervised Image Classification