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CUB

Benchmarks

1 Image, 2*2 Stitchi/FID 1 Image, 2*2 Stitchi/Inception score 10-shot image generation/FID 10-shot image generation/Inception score Cross-Domain Few-Shot/5 shot Few-Shot Learning/5 shot Generalized Few-Shot Learning/Per-Class Accuracy (1-shot)Generalized Few-Shot Learning/Per-Class Accuracy (2-shots)Generalized Few-Shot Learning/Per-Class Accuracy (5-shots)Generalized Few-Shot Learning/Per-Class Accuracy (10-shots)Generalized Few-Shot Learning/Per-Class Accuracy (20-shots)Graph Matching/F1 score Image Classification/Classification Accuracy Image Classification/Explanation Accuracy Image Classification/Explanation complexity Image Classification/Explanation extraction time Image Generation/FID Image Generation/Inception score Meta-Learning/5 shot Object Localization/Top-1 Localization Accuracy Text-to-Image Generation/FID Text-to-Image Generation/Inception score

Related Benchmarks

CUB 128 x 128/Image Generation/FID CUB 128 x 128/Image Generation/Inception score CUB 200 5-way/Few-Shot Image Classification/Accuracy CUB 200 5-way/Image Classification/Accuracy CUB 200 5-way 1-shot/Few-Shot Image Classification/Accuracy CUB 200 5-way 1-shot/Image Classification/Accuracy CUB 200 5-way 5-shot/Few-Shot Image Classification/Accuracy CUB 200 5-way 5-shot/Image Classification/Accuracy CUB 200 50-way (0-shot)/Few-Shot Image Classification/Accuracy CUB 200 50-way (0-shot)/Image Classification/Accuracy CUB Birds/Image Clustering/Accuracy CUB Birds/Image Clustering/NMI CUB Birds/Image Recognition/1:1 Accuracy CUB-200 - 0-Shot Learning/Few-Shot Image Classification/Accuracy CUB-200 - 0-Shot Learning/Image Classification/Accuracy CUB-200 - 0-Shot Learning/Zero-Shot Learning/Average Per-Class Accuracy CUB-200-2011/3D/FID CUB-200-2011/Colorization/PSNR@1 CUB-200-2011/Colorization/PSNR@10 CUB-200-2011/Colorization/PSNR@100 CUB-200-2011/Concept-based Classification/Concept Accuracy (%)CUB-200-2011/Concept-based Classification/Task Accuracy (%)CUB-200-2011/Document Text Classification/Accuracy CUB-200-2011/Error Understanding/Average highest confidence (EfficientNetV2-M)CUB-200-2011/Error Understanding/Average highest confidence (MobileNetV2)CUB-200-2011/Error Understanding/Average highest confidence (ResNet-101)CUB-200-2011/Error Understanding/Insertion AUC score (EfficientNetV2-M)CUB-200-2011/Error Understanding/Insertion AUC score (MobileNetV2)CUB-200-2011/Error Understanding/Insertion AUC score (ResNet-101)CUB-200-2011/Fine-Grained Image Classification/Accuracy CUB-200-2011/Image Attribution/Deletion AUC score (ResNet-101)CUB-200-2011/Image Attribution/Insertion AUC score (ResNet-101)CUB-200-2011/Image Classification/Accuracy CUB-200-2011/Image Classification/Concept Accuracy (%)CUB-200-2011/Image Classification/Task Accuracy (%)CUB-200-2011/Image Clustering/NMI CUB-200-2011/Image Matching/Mean PCK@0.05 CUB-200-2011/Image Matching/Mean PCK@0.1 CUB-200-2011/Image Recognition/Accuracy CUB-200-2011/Image Retrieval/R@1 CUB-200-2011/Image Retrieval/R@2 CUB-200-2011/Image Retrieval/R@4 CUB-200-2011/Image Retrieval/R@8 CUB-200-2011/Interpretable Machine Learning/Top 1 Accuracy CUB-200-2011/Metric Learning/R@1 CUB-200-2011/Multimodal Deep Learning/Accuracy CUB-200-2011/Multimodal Text and Image Classification/Accuracy CUB-200-2011/Object Localization/GT-known localization accuracy CUB-200-2011/Object Localization/Top-1 Localization Accuracy CUB-200-2011/Object Localization/average top-1 classification accuracy CUB-200-2011/Reconstruction/FID CUB-200-2011/Semantic correspondence/Mean PCK@0.05 CUB-200-2011/Semantic correspondence/Mean PCK@0.1 CUB-200-2011/Single-View 3D Reconstruction/FID CUB-200-2011/Visual Recognition/Accuracy (%)CUB-200-2011/Zero-Shot Learning/Accuracy CUB-200-2011/Zero-Shot Learning/Accuracy Seen CUB-200-2011/Zero-Shot Learning/Accuracy Unseen CUB-200-2011/Zero-Shot Learning/H CUB-200-2011/Zero-Shot Learning/Harmonic mean CUB-200-2011/Zero-Shot Learning/average top-1 classification accuracy CUB-200-2011 (20 tasks) - 1 epoch/Continual Learning/Accuracy CUB-200-2011 (ResNet-101)/Error Understanding/Average highest confidence CUB-200-2011 (ResNet-101)/Error Understanding/Insertion AUC score CUB-200-2011 - 0-Shot/Few-Shot Image Classification/AP50 CUB-200-2011 - 0-Shot/Few-Shot Image Classification/Top-1 Accuracy CUB-200-2011 - 0-Shot/Image Classification/AP50 CUB-200-2011 - 0-Shot/Image Classification/Top-1 Accuracy CUB-200-2011 5-way (1-shot)/Few-Shot Image Classification/Accuracy CUB-200-2011 5-way (1-shot)/Image Classification/Accuracy CUB-200-2011 5-way (5-shot)/Few-Shot Image Classification/Accuracy CUB-200-2011 5-way (5-shot)/Image Classification/Accuracy CUB-200-2011, 30 samples per class/Image Classification/Accuracy CUB-200-2011, 5 samples per class/Image Classification/Accuracy CUB-LT/Few-Shot Image Classification/Long-Tailed Accuracy CUB-LT/Few-Shot Image Classification/Per-Class Accuracy CUB-LT/Generalized Few-Shot Classification/Long-Tailed Accuracy CUB-LT/Generalized Few-Shot Classification/Per-Class Accuracy CUB-LT/Generalized Few-Shot Learning/Long-Tailed Accuracy CUB-LT/Generalized Few-Shot Learning/Per-Class Accuracy CUB-LT/Image Classification/Long-Tailed Accuracy CUB-LT/Image Classification/Per-Class Accuracy CUB-LT/Long-tail Learning/Long-Tailed Accuracy CUB-LT/Long-tail Learning/Per-Class Accuracy CUBS (Fine-grained 6 Tasks)/Continual Learning/Accuracy Cube Engraving/Object Recognition/Accuracy

Statistics

Papers: 0
Benchmarks: 22

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Tasks

1 Image, 2*2 Stitchi 10-shot image generation Cross-Domain Few-Shot Few-Shot Learning Generalized Few-Shot Learning Graph Matching Image Classification Image Generation Meta-Learning Object Localization Text-to-Image Generation