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Datasets/ImageNet (1-shot)

ImageNet (1-shot)

Benchmarks

Few-Shot Image Classification/Top-5 Accuracy Image Classification/Top-5 Accuracy

Related Benchmarks

ImageNet/1 Image, 2*2 Stitchi/FID ImageNet/1 Image, 2*2 Stitchi/PSNR ImageNet/1 Image, 2*2 Stitchi/SSIM ImageNet/10-shot image generation/FID ImageNet/10-shot image generation/PSNR ImageNet/10-shot image generation/SSIM ImageNet/16k/FID ImageNet/16k/MAP ImageNet/16k/PSNR ImageNet/16k/SSIM ImageNet/2D Classification/MAP ImageNet/2D Object Detection/MAP ImageNet/2D Semantic Segmentation/GFLOPs ImageNet/3D/MAP ImageNet/3D Object Super-Resolution/FID ImageNet/3D Object Super-Resolution/PSNR ImageNet/3D Object Super-Resolution/SSIM ImageNet/Adversarial Defense/Accuracy ImageNet/Adversarial Robustness/Accuracy ImageNet/AutoML/Accuracy ImageNet/AutoML/FLOPs ImageNet/AutoML/MACs ImageNet/AutoML/Params ImageNet/AutoML/Top-1 Error Rate ImageNet/Classification/GFLOPs ImageNet/Classification/Top 1 Accuracy ImageNet/Composed Image Retrieval (CoIR)/Average Recall ImageNet/Data Augmentation/Accuracy (%)ImageNet/Image Classification/ARI ImageNet/Image Classification/Accuracy (%)ImageNet/Image Classification/GFLOPs ImageNet/Image Classification/Hardware Burden ImageNet/Image Classification/Number of Params ImageNet/Image Classification/Number of params ImageNet/Image Classification/Operations per network pass ImageNet/Image Classification/Top 1 Accuracy ImageNet/Image Classification/Top 5 Accuracy ImageNet/Image Clustering/ARI ImageNet/Image Clustering/Accuracy ImageNet/Image Clustering/NMI ImageNet/Image Colorization/Consistency ImageNet/Image Colorization/FID ImageNet/Image Deblurring/FID ImageNet/Image Deblurring/PSNR ImageNet/Image Deblurring/SSIM ImageNet/Image Generation/FID ImageNet/Image Generation/PSNR ImageNet/Image Generation/SSIM ImageNet/Image Inpainting/FID ImageNet/Image Inpainting/PSNR ImageNet/Image Inpainting/SSIM ImageNet/Image Reconstruction/FID ImageNet/Image Reconstruction/LPIPS ImageNet/Image Reconstruction/PSNR ImageNet/Image Reconstruction/SSIM ImageNet/Image Retrieval/Average Recall ImageNet/Image Segmentation/GFLOPs ImageNet/Image Super-Resolution/FID ImageNet/Image Super-Resolution/PSNR ImageNet/Image Super-Resolution/SSIM ImageNet/JPEG Decompression/CA ImageNet/JPEG Decompression/FID-5K ImageNet/JPEG Decompression/IS ImageNet/JPEG Decompression/PD ImageNet/Knowledge Distillation/CRD training setting ImageNet/Knowledge Distillation/Top-1 accuracy %ImageNet/Knowledge Distillation/model size ImageNet/Medical Image Classification/GFLOPs ImageNet/Medical Image Classification/Top 1 Accuracy ImageNet/Model Compression/Top-1 ImageNet/Network Pruning/Accuracy ImageNet/Network Pruning/GFLOPs ImageNet/Network Pruning/MParams ImageNet/Neural Architecture Search/Accuracy ImageNet/Neural Architecture Search/FLOPs ImageNet/Neural Architecture Search/MACs ImageNet/Neural Architecture Search/Params ImageNet/Neural Architecture Search/Top-1 Error Rate ImageNet/Object Detection/MAP ImageNet/Object Localization/GT-known localization accuracy ImageNet/Object Localization/Top-1 Localization Accuracy ImageNet/Object Localization/average top-1 classification accuracy ImageNet/Prompt Engineering/Harmonic mean ImageNet/Quantization/Activation bits ImageNet/Quantization/Top-1 Accuracy (%)ImageNet/Quantization/Weight bits ImageNet/Representation Learning/ADCC ImageNet/Representation Learning/Average Drop ImageNet/Representation Learning/Average Increase ImageNet/Sparse Learning/Top-1 Accuracy ImageNet/Super-Resolution/FID ImageNet/Super-Resolution/PSNR ImageNet/Super-Resolution/SSIM ImageNet/Visual Question Answering (VQA)/ClipMatch@1 ImageNet/Visual Question Answering (VQA)/ClipMatch@5 ImageNet/Visual Question Answering (VQA)/Contains ImageNet/Visual Question Answering (VQA)/ExactMatch ImageNet/Visual Question Answering (VQA)/Follow-up ClipMatch@1 ImageNet/Visual Question Answering (VQA)/Follow-up ClipMatch@5 ImageNet/Visual Question Answering (VQA)/Follow-up Contains ImageNet/Visual Question Answering (VQA)/Follow-up ExactMatch ImageNet/Zero-Shot Learning/Top 1 Accuracy ImageNet/Zero-Shot Transfer Image Classification/Accuracy (Private)ImageNet/Zero-Shot Transfer Image Classification/Accuracy (Public)ImageNet/Zero-Shot Transfer Image Classification/Param ImageNet (Fine-grained 6 Tasks)/Continual Learning/Accuracy ImageNet (finetuned)/Image Classification/Number of Params ImageNet (finetuned)/Image Classification/Top 1 Accuracy ImageNet (non-targeted PGD, max perturbation=4)/Adversarial Defense/Accuracy ImageNet (targeted PGD, max perturbation=16)/Adversarial Defense/Accuracy ImageNet - 0-Shot/Few-Shot Image Classification/Accuracy ImageNet - 0-Shot/Image Classification/Accuracy ImageNet - 0.2% labeled data/Image Classification/ImageNet Top-1 Accuracy ImageNet - 0.2% labeled data/Semi-Supervised Image Classification/ImageNet Top-1 Accuracy ImageNet - 1% labeled data/Image Classification/Number of params ImageNet - 1% labeled data/Image Classification/Top 1 Accuracy ImageNet - 1% labeled data/Image Classification/Top 5 Accuracy ImageNet - 1% labeled data/Semi-Supervised Image Classification/Number of params ImageNet - 1% labeled data/Semi-Supervised Image Classification/Top 1 Accuracy ImageNet - 1% labeled data/Semi-Supervised Image Classification/Top 5 Accuracy ImageNet - 1-shot/Few-Shot Image Classification/Top 1 Accuracy ImageNet - 1-shot/Image Classification/Top 1 Accuracy ImageNet - 10 steps/Incremental Learning/# M Params ImageNet - 10 steps/Incremental Learning/Average Incremental Accuracy ImageNet - 10 steps/Incremental Learning/Average Incremental Accuracy Top-5 ImageNet - 10 steps/Incremental Learning/Final Accuracy ImageNet - 10 steps/Incremental Learning/Final Accuracy Top-5 ImageNet - 10% labeled data/Image Classification/Number of params ImageNet - 10% labeled data/Image Classification/Top 1 Accuracy ImageNet - 10% labeled data/Image Classification/Top 5 Accuracy ImageNet - 10% labeled data/Semi-Supervised Image Classification/Number of params ImageNet - 10% labeled data/Semi-Supervised Image Classification/Top 1 Accuracy ImageNet - 10% labeled data/Semi-Supervised Image Classification/Top 5 Accuracy ImageNet - 10-shot/Few-Shot Image Classification/Top 1 Accuracy ImageNet - 10-shot/Image Classification/Top 1 Accuracy ImageNet - 5-shot/Few-Shot Image Classification/Top 1 Accuracy ImageNet - 5-shot/Image Classification/Top 1 Accuracy ImageNet - 500 classes + 10 steps of 50 classes/Incremental Learning/Average Incremental Accuracy ImageNet - 500 classes + 10 steps of 50 classes/Incremental Learning/Final Accuracy ImageNet - 500 classes + 25 steps of 20 classes/Incremental Learning/Average Incremental Accuracy ImageNet - 500 classes + 5 steps of 100 classes/Incremental Learning/Average Incremental Accuracy ImageNet - 500 classes + 5 steps of 100 classes/Incremental Learning/Final Accuracy ImageNet - ResNet 50 - 90% sparsity/Network Pruning/Top-1 Accuracy ImageNet 128x128/Conditional Image Generation/FID ImageNet 128x128/Conditional Image Generation/Inception score ImageNet 128x128/Image Generation/FID ImageNet 128x128/Image Generation/IS ImageNet 128x128/Image Generation/Inception score ImageNet 128x128/Image Generation/Precision ImageNet 128x128/Image Generation/Recall ImageNet 256x256/Conditional Image Generation/FID ImageNet 256x256/Conditional Image Generation/Inception score ImageNet 256x256/Image Generation/FID ImageNet 256x256/Image Generation/Inception score ImageNet 256x256/Image Generation/NFE ImageNet 256x256/Image Reconstruction/FID ImageNet 256x256 - 1 labeled data per class/Image Generation/FID-50k ImageNet 256x256 - 1 labeled data per class/Image Generation/IS ImageNet 256x256 - 1 labeled data per class/Image Generation/Precision ImageNet 256x256 - 1 labeled data per class/Image Generation/Recall ImageNet 256x256 - 1 labeled data per class/Image Generation/sFID ImageNet 256x256 - 1% labeled data/Image Generation/FID-50k ImageNet 256x256 - 1% labeled data/Image Generation/IS ImageNet 256x256 - 1% labeled data/Image Generation/Precision ImageNet 256x256 - 1% labeled data/Image Generation/Recall ImageNet 256x256 - 1% labeled data/Image Generation/sFID ImageNet 256x256 - 2 labeled data per class/Image Generation/FID-50k ImageNet 256x256 - 2 labeled data per class/Image Generation/IS ImageNet 256x256 - 2 labeled data per class/Image Generation/Precision ImageNet 256x256 - 2 labeled data per class/Image Generation/Recall ImageNet 256x256 - 2 labeled data per class/Image Generation/sFID ImageNet 256x256 - 5 labeled data per class/Image Generation/FID-50k ImageNet 256x256 - 5 labeled data per class/Image Generation/IS ImageNet 256x256 - 5 labeled data per class/Image Generation/Precision ImageNet 256x256 - 5 labeled data per class/Image Generation/Recall ImageNet 256x256 - 5 labeled data per class/Image Generation/sFID ImageNet 32x32/Density Estimation/NLL (bits/dim)ImageNet 32x32/Image Generation/FID ImageNet 32x32/Image Generation/Inception score ImageNet 32x32/Image Generation/bpd ImageNet 50 samples per class/Image Classification/1:1 Accuracy ImageNet 512x512/Image Generation/FID ImageNet 512x512/Image Generation/Inception score ImageNet 512x512/Image Generation/NFE ImageNet 64x64/Conditional Image Generation/FID ImageNet 64x64/Conditional Image Generation/Inception score ImageNet 64x64/Density Estimation/Log-likelihood ImageNet 64x64/Image Generation/Bits per dim ImageNet 64x64/Image Generation/FID ImageNet 64x64/Image Generation/Inception Score ImageNet 64x64/Image Generation/Inception score ImageNet 64x64/Image Generation/KID ImageNet 64x64/Image Generation/NFE ImageNet C-OOD (class-out-of-distribution)/Classification/Detection AUROC (severity 0)ImageNet C-OOD (class-out-of-distribution)/Classification/Detection AUROC (severity 10)ImageNet C-OOD (class-out-of-distribution)/Classification/Detection AUROC (severity 5)ImageNet Detection/16k/mAP ImageNet Detection/2D Classification/mAP ImageNet Detection/2D Object Detection/mAP ImageNet Detection/3D/mAP ImageNet Detection/Object Detection/mAP ImageNet ReaL/Image Classification/Accuracy ImageNet ReaL/Image Classification/Number of params ImageNet ReaL/Image Classification/Params ImageNet ReaL/Image Classification/Top 1 Accuracy ImageNet ReaL/Zero-Shot Transfer Image Classification/Accuracy (Private)ImageNet ReaL/Zero-Shot Transfer Image Classification/Accuracy (Public)ImageNet ResNet-50 - 50 Epochs/Stochastic Optimization/Top 1 Accuracy ImageNet ResNet-50 - 50 Epochs/Stochastic Optimization/Top 5 Accuracy ImageNet ResNet-50 - 60 Epochs/Stochastic Optimization/Top 1 Accuracy ImageNet ResNet-50 - 60 Epochs/Stochastic Optimization/Top 5 Accuracy ImageNet ResNet-50 - 90 Epochs/Stochastic Optimization/Top 1 Accuracy ImageNet V2/Image Classification/Top 1 Accuracy ImageNet V2/Prompt Engineering/Top-1 accuracy %ImageNet V2/Zero-Shot Transfer Image Classification/Accuracy (Private)ImageNet V2/Zero-Shot Transfer Image Classification/Accuracy (Public)ImageNet VID/16k/MAP ImageNet VID/2D Classification/MAP ImageNet VID/2D Object Detection/MAP ImageNet VID/3D/MAP ImageNet VID/Object Detection/MAP ImageNet ctest10k/Colorization/FID ImageNet ctest10k/Colorization/PSNR@1 ImageNet ctest10k/Colorization/PSNR@10 ImageNet ctest10k/Colorization/PSNR@100 ImageNet dogs vs ImageNet non-dogs/Out-of-Distribution Detection/AUROC ImageNet sigma100/3D Architecture/LPIPS ImageNet sigma100/3D Architecture/PSNR ImageNet sigma100/3D Architecture/SSIM ImageNet sigma100/Denoising/LPIPS ImageNet sigma100/Denoising/PSNR ImageNet sigma100/Denoising/SSIM ImageNet sigma150/3D Architecture/LPIPS ImageNet sigma150/3D Architecture/PSNR ImageNet sigma150/3D Architecture/SSIM ImageNet sigma150/Denoising/LPIPS ImageNet sigma150/Denoising/PSNR ImageNet sigma150/Denoising/SSIM ImageNet sigma200/3D Architecture/LPIPS ImageNet sigma200/3D Architecture/PSNR ImageNet sigma200/3D Architecture/SSIM ImageNet sigma200/Denoising/LPIPS ImageNet sigma200/Denoising/PSNR ImageNet sigma200/Denoising/SSIM ImageNet sigma250/3D Architecture/LPIPS ImageNet sigma250/3D Architecture/PSNR ImageNet sigma250/3D Architecture/SSIM ImageNet sigma250/Denoising/LPIPS ImageNet sigma250/Denoising/PSNR ImageNet sigma250/Denoising/SSIM ImageNet sigma50/3D Architecture/LPIPS ImageNet sigma50/3D Architecture/PSNR ImageNet sigma50/3D Architecture/SSIM ImageNet sigma50/Denoising/LPIPS ImageNet sigma50/Denoising/PSNR ImageNet sigma50/Denoising/SSIM ImageNet val/Colorization/FID-5K ImageNet-10/Image Classification/ARI ImageNet-10/Image Classification/Top 1 Accuracy ImageNet-10/Image Clustering/ARI ImageNet-10/Image Clustering/Accuracy ImageNet-10/Image Clustering/Backbone ImageNet-10/Image Clustering/Image Size ImageNet-10/Image Clustering/NMI ImageNet-100 (Class-IL, 5T)/Image Classification/Top 1 Accuracy ImageNet-100 (TEMI Split)/Image Classification/All accuracy (10% Labeled)ImageNet-100 (TEMI Split)/Image Classification/All accuracy (50% Labeled)ImageNet-100 (TEMI Split)/Image Classification/Novel accuracy (10% Labeled)ImageNet-100 (TEMI Split)/Image Classification/Novel accuracy (50% Labeled)ImageNet-100 (TEMI Split)/Image Classification/Params ImageNet-100 (TEMI Split)/Image Classification/Percentage correct ImageNet-100 (TEMI Split)/Image Classification/Seen accuracy (10% Labeled)ImageNet-100 (TEMI Split)/Image Classification/Seen accuracy (50% Labeled)ImageNet-100 (TEMI Split)/Image Clustering/ACCURACY ImageNet-100 (TEMI Split)/Image Clustering/ARI ImageNet-100 (TEMI Split)/Image Clustering/NMI ImageNet-100 (TEMI Split)/Self-Supervised Learning/Top-1 Accuracy ImageNet-100 (TEMI Split)/Semi-Supervised Image Classification/All accuracy (10% Labeled)ImageNet-100 (TEMI Split)/Semi-Supervised Image Classification/All accuracy (50% Labeled)ImageNet-100 (TEMI Split)/Semi-Supervised Image Classification/Novel accuracy (10% Labeled)ImageNet-100 (TEMI Split)/Semi-Supervised Image Classification/Novel accuracy (50% Labeled)ImageNet-100 (TEMI Split)/Semi-Supervised Image Classification/Seen accuracy (10% Labeled)ImageNet-100 (TEMI Split)/Semi-Supervised Image Classification/Seen accuracy (50% Labeled)ImageNet-100 - 50 classes + 10 steps of 5 classes/Incremental Learning/Average Incremental Accuracy ImageNet-100 - 50 classes + 25 steps of 2 classes/Incremental Learning/Average Incremental Accuracy ImageNet-100 - 50 classes + 5 steps of 10 classes/Incremental Learning/Average Incremental Accuracy ImageNet-100 - 50 classes + 5 steps of 10 classes/Object Localization/Average Top-1 localization accuracy ImageNet-100 - 50 classes + 50 steps of 1 class/Incremental Learning/Average Incremental Accuracy ImageNet-10k - 5225 classes + 5 steps of 1045 classes/Incremental Learning/Final Accuracy ImageNet-1K (With LV-ViT-S)/Image Classification/GFLOPs ImageNet-1K (With LV-ViT-S)/Image Classification/Top 1 Accuracy ImageNet-1K (with DeiT-S)/Image Classification/GFLOPs ImageNet-1K (with DeiT-S)/Image Classification/Top 1 Accuracy ImageNet-1K (with DeiT-T)/Image Classification/GFLOPs ImageNet-1K (with DeiT-T)/Image Classification/Top 1 Accuracy ImageNet-1K vs ImageNet-C/Out-of-Distribution Detection/AUROC ImageNet-1K vs ImageNet-C/Out-of-Distribution Detection/FPR95 ImageNet-1K vs ImageNet-C/Out-of-Distribution Detection/Latency, ms ImageNet-1K vs ImageNet-O/Out-of-Distribution Detection/AUROC ImageNet-1K vs ImageNet-O/Out-of-Distribution Detection/FPR95 ImageNet-1K vs SSB-hard/Out-of-Distribution Detection/AUROC ImageNet-1K vs SSB-hard/Out-of-Distribution Detection/FPR95 ImageNet-1K vs SSB-hard/Out-of-Distribution Detection/Latency, ms ImageNet-1k to MSCOCO/Zero-Shot Learning/mAP ImageNet-1k vs Curated OODs (avg.)/Out-of-Distribution Detection/AUROC ImageNet-1k vs Curated OODs (avg.)/Out-of-Distribution Detection/FPR95 ImageNet-1k vs NINCO/Out-of-Distribution Detection/AUROC ImageNet-1k vs NINCO/Out-of-Distribution Detection/FPR@95 ImageNet-1k vs NINCO/Out-of-Distribution Detection/Latency, ms ImageNet-1k vs OpenImage-O/Out-of-Distribution Detection/AUROC ImageNet-1k vs OpenImage-O/Out-of-Distribution Detection/FPR95 ImageNet-1k vs OpenImage-O/Out-of-Distribution Detection/Latency, ms ImageNet-1k vs Places/Out-of-Distribution Detection/AUROC ImageNet-1k vs Places/Out-of-Distribution Detection/FPR95 ImageNet-1k vs SUN/Out-of-Distribution Detection/AUROC ImageNet-1k vs SUN/Out-of-Distribution Detection/FPR95 ImageNet-1k vs Textures/Out-of-Distribution Detection/AUROC ImageNet-1k vs Textures/Out-of-Distribution Detection/FPR95 ImageNet-1k vs Textures/Out-of-Distribution Detection/Latency, ms ImageNet-1k vs iNaturalist/Out-of-Distribution Detection/AUROC ImageNet-1k vs iNaturalist/Out-of-Distribution Detection/FPR95 ImageNet-1k vs iNaturalist/Out-of-Distribution Detection/Latency, ms ImageNet-200/Image Clustering/ ACCURACY ImageNet-200/Image Clustering/ARI ImageNet-200/Image Clustering/NMI ImageNet-21k/Prompt Engineering/Accuracy ImageNet-32/Image Classification/Top 1 Error ImageNet-50 (5 tasks) /Continual Learning/Accuracy ImageNet-50 (TEMI Split)/Image Clustering/ACCURACY ImageNet-50 (TEMI Split)/Image Clustering/ARI ImageNet-50 (TEMI Split)/Image Clustering/NMI ImageNet-64/Image Classification/Top 1 Error ImageNet-9/Image Classification/Top 1 Accuracy ImageNet-A/Adversarial Robustness/Accuracy ImageNet-A/Domain Adaptation/Number of params ImageNet-A/Domain Adaptation/Top 1 Error ImageNet-A/Domain Adaptation/Top-1 accuracy %ImageNet-A/Domain Generalization/Number of params ImageNet-A/Domain Generalization/Top-1 accuracy %ImageNet-A/Prompt Engineering/Top-1 accuracy %ImageNet-A/Unsupervised Domain Adaptation/Top 1 Error ImageNet-A/Zero-Shot Transfer Image Classification/Accuracy (Private)ImageNet-A/Zero-Shot Transfer Image Classification/Accuracy (Public)ImageNet-C/Adversarial Robustness/mean Corruption Error (mCE)ImageNet-C/Domain Adaptation/Mean Accuracy ImageNet-C/Domain Adaptation/Number of params ImageNet-C/Domain Adaptation/Top 1 Accuracy ImageNet-C/Domain Adaptation/mean Corruption Error (mCE)ImageNet-C/Domain Generalization/Number of params ImageNet-C/Domain Generalization/Top 1 Accuracy ImageNet-C/Domain Generalization/mean Corruption Error (mCE)ImageNet-C/Unsupervised Domain Adaptation/mean Corruption Error (mCE)ImageNet-Caltech/Domain Adaptation/Accuracy (%)ImageNet-FS (1-shot, all)/Few-Shot Image Classification/Top-5 Accuracy (%)ImageNet-FS (1-shot, all)/Image Classification/Top-5 Accuracy (%)ImageNet-FS (1-shot, novel)/Few-Shot Image Classification/Top-5 Accuracy (%)ImageNet-FS (1-shot, novel)/Image Classification/Top-5 Accuracy (%)ImageNet-FS (10-shot, all)/Few-Shot Image Classification/Top-5 Accuracy (%)ImageNet-FS (10-shot, all)/Image Classification/Top-5 Accuracy (%)ImageNet-FS (10-shot, novel)/Few-Shot Image Classification/Top-5 Accuracy (%)ImageNet-FS (10-shot, novel)/Image Classification/Top-5 Accuracy (%)ImageNet-FS (2-shot, all)/Few-Shot Image Classification/Top-5 Accuracy (%)ImageNet-FS (2-shot, all)/Image Classification/Top-5 Accuracy (%)ImageNet-FS (2-shot, novel)/Few-Shot Image Classification/Top-5 Accuracy (%)ImageNet-FS (2-shot, novel)/Image Classification/Top-5 Accuracy (%)ImageNet-FS (5-shot, all)/Few-Shot Image Classification/Top-5 Accuracy (%)ImageNet-FS (5-shot, all)/Image Classification/Top-5 Accuracy (%)ImageNet-FS (5-shot, novel)/Few-Shot Image Classification/Top-5 Accuracy (%)ImageNet-FS (5-shot, novel)/Image Classification/Top-5 Accuracy (%)ImageNet-GLT/Few-Shot Image Classification/Accuracy ImageNet-GLT/Generalized Few-Shot Classification/Accuracy ImageNet-GLT/Generalized Few-Shot Learning/Accuracy ImageNet-GLT/Image Classification/Accuracy ImageNet-GLT/Long-tail Learning/Accuracy ImageNet-Hard/Image Classification/Accuracy (%)ImageNet-LT/Conditional Image Generation/FID ImageNet-LT/Few-Shot Image Classification/Top-1 Accuracy ImageNet-LT/Generalized Few-Shot Classification/Top-1 Accuracy ImageNet-LT/Generalized Few-Shot Learning/Top-1 Accuracy ImageNet-LT/Image Classification/Top-1 Accuracy ImageNet-LT/Image Generation/FID ImageNet-LT/Long-tail Learning/Top-1 Accuracy ImageNet-LT-d/Few-Shot Image Classification/Per-Class Accuracy ImageNet-LT-d/Generalized Few-Shot Classification/Per-Class Accuracy ImageNet-LT-d/Generalized Few-Shot Learning/Per-Class Accuracy ImageNet-LT-d/Image Classification/Per-Class Accuracy ImageNet-LT-d/Long-tail Learning/Per-Class Accuracy ImageNet-P/Image Classification/Top 5 Accuracy ImageNet-R/Composed Image Retrieval (CoIR)/(Recall@10+Recall@50)/2 ImageNet-R/Composed Image Retrieval (CoIR)/mAP ImageNet-R/Domain Adaptation/Top 1 Error ImageNet-R/Domain Adaptation/Top-1 Error Rate ImageNet-R/Domain Generalization/Top-1 Error Rate ImageNet-R/Image Retrieval/(Recall@10+Recall@50)/2 ImageNet-R/Image Retrieval/mAP ImageNet-R/Prompt Engineering/Top-1 accuracy %ImageNet-R/Unsupervised Domain Adaptation/Top 1 Error ImageNet-R/Zero-Shot Transfer Image Classification/Accuracy ImageNet-S/10-shot image generation/mIoU (test)ImageNet-S/10-shot image generation/mIoU (val)ImageNet-S/Prompt Engineering/Top-1 accuracy %ImageNet-S/Semantic Segmentation/mIoU (test)ImageNet-S/Semantic Segmentation/mIoU (val)ImageNet-S/Unsupervised Semantic Segmentation/mIoU (test)ImageNet-S/Unsupervised Semantic Segmentation/mIoU (val)ImageNet-S/Zero-Shot Transfer Image Classification/Accuracy (Private)ImageNet-S/Zero-Shot Transfer Image Classification/Top 5 Accuracy ImageNet-S-300/10-shot image generation/mIoU (test)ImageNet-S-300/10-shot image generation/mIoU (val)ImageNet-S-300/Semantic Segmentation/mIoU (test)ImageNet-S-300/Semantic Segmentation/mIoU (val)ImageNet-S-300/Unsupervised Semantic Segmentation/mIoU (test)ImageNet-S-300/Unsupervised Semantic Segmentation/mIoU (val)ImageNet-S-50/10-shot image generation/mIoU (test)ImageNet-S-50/10-shot image generation/mIoU (val)ImageNet-S-50/Semantic Segmentation/mIoU (test)ImageNet-S-50/Semantic Segmentation/mIoU (val)ImageNet-S-50/Unsupervised Semantic Segmentation/mIoU (test)ImageNet-S-50/Unsupervised Semantic Segmentation/mIoU (val)ImageNet-Sketch/Domain Adaptation/Top-1 accuracy ImageNet-Sketch/Domain Generalization/Top-1 accuracy ImageNet-Sketch/Image Classification/Accuracy ImageNet-Sketch/Zero-Shot Transfer Image Classification/Accuracy (Private)ImageNet-VidVRD/2D Semantic Segmentation/Recall@100 ImageNet-VidVRD/2D Semantic Segmentation/Recall@50 ImageNet-VidVRD/2D Semantic Segmentation/mAP ImageNet-VidVRD/Scene Parsing/Recall@100 ImageNet-VidVRD/Scene Parsing/Recall@50 ImageNet-VidVRD/Scene Parsing/mAP ImageNet-VidVRD/Scene Understanding/Recall@100 ImageNet-VidVRD/Scene Understanding/Recall@50 ImageNet-VidVRD/Scene Understanding/mAP ImageNet-VidVRD/Video scene graph generation/Recall@50 ImageNet-VidVRD/Visual Relationship Detection/Recall@100 ImageNet-VidVRD/Visual Relationship Detection/Recall@50 ImageNet-VidVRD/Visual Relationship Detection/mAP ImageNet100 - 10 steps/Incremental Learning/# M Params ImageNet100 - 10 steps/Incremental Learning/Average Incremental Accuracy ImageNet100 - 10 steps/Incremental Learning/Average Incremental Accuracy Top-5 ImageNet100 - 10 steps/Incremental Learning/Final Accuracy ImageNet100 - 10 steps/Incremental Learning/Final Accuracy Top-5 ImageNet100 - 20 steps/Incremental Learning/Average Incremental Accuracy ImageNet32/Classification/Recall@1 ImageNet32/Classification/Recall@10 ImageNet32/Classification/Recall@2 ImageNet32/Classification/Recall@5 ImageNet32/Image Compression/bpsp ImageNet32/Sparse Learning/Sparsity ImageNetSubset/Class Incremental Learning/Average accuracy - 5 tasks ImageNetSubset/Class Incremental Learning/average accuracy - 10 tasks ImageNetSubset/Class Incremental Learning/average accuracy - 20 tasks ImageNetSubset/Continual Learning/Average accuracy - 5 tasks ImageNetSubset/Continual Learning/average accuracy - 10 tasks ImageNetSubset/Continual Learning/average accuracy - 20 tasks ImageNet_CN/Zero-Shot Learning/Accuracy Imagenet-dog-15/Image Clustering/ARI Imagenet-dog-15/Image Clustering/Accuracy Imagenet-dog-15/Image Clustering/Backbone Imagenet-dog-15/Image Clustering/Image Size Imagenet-dog-15/Image Clustering/NMI Imagenette/Image Classification/Accuracy Imagenette, 100 Labels/Image Classification/Percentage error Imagenette, 100 Labels/Semi-Supervised Image Classification/Percentage error Imagenette, 20 Labels/Image Classification/Percentage error Imagenette, 20 Labels/Semi-Supervised Image Classification/Percentage error imagenet-1k/Contrastive Learning/ImageNet Top-1 Accuracy imagenet-1k/Image Classification/Top 1 Accuracy imagenet-1k/Image Clustering/ARI imagenet-1k/Image Clustering/Accuracy imagenet-1k/Image Clustering/NMI

Statistics

Papers: 0
Benchmarks: 2

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Tasks

Few-Shot Image Classification Image Classification