prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the AR-B (Opt Relevance) model in the Optimizing Relevance Maps of Vision Transformers Improves Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the BiT-M (ResNet-152x4) model in the Big Transfer (BiT): General Visual Representation Learning paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ViT-B/16 (512x512) model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ViT-B (Discrete 512x512) model in the Discrete Representations Strengthen Vision Transformer Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the AR-L model in the Optimizing Relevance Maps of Vision Transformers Improves Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ViT-L (Opt Relevance) model in the Optimizing Relevance Maps of Vision Transformers Improves Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the CLIP L model in the Optimal Representations for Covariate Shift paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ResNet-50 (JFT-300M) model in the Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ViT-B (Opt Relevance) model in the Optimizing Relevance Maps of Vision Transformers Improves Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the CLIP L (LAION) model in the Optimal Representations for Covariate Shift paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the AR-B model in the Optimizing Relevance Maps of Vision Transformers Improves Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the RegViT on 384x384 + Adv Pyramid model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ResNet-152 + GenInt with Transfer model in the Generative Interventions for Causal Learning paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the AR-S (Opt Relevance) model in the Optimizing Relevance Maps of Vision Transformers Improves Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ResNet-50 (Bamboo) model in the Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the RegViT on 384x384 + Adv Pixel model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ViT-L model in the Optimizing Relevance Maps of Vision Transformers Improves Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the DeiT-L (Opt Relevance) model in the Optimizing Relevance Maps of Vision Transformers Improves Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the BiT-S (ResNet-152x4) model in the Big Transfer (BiT): General Visual Representation Learning paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the NASNet-A model in the ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the PNASNet-5L model in the ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the RegViT on 384x384 model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ViT-B model in the Optimizing Relevance Maps of Vision Transformers Improves Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the RegViT on 384x384 + Random Pyramid model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the AR-S model in the Optimizing Relevance Maps of Vision Transformers Improves Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the RegViT on 384x384 + Random Pixel model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the RegViT (RandAug) + Adv Pyramid model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the Inception-v4 model in the ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the DeiT-S (Opt Relevance) model in the Optimizing Relevance Maps of Vision Transformers Improves Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ResNet-50 + CGC model in the Context-Gated Convolution paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the DeiT-L model in the Optimizing Relevance Maps of Vision Transformers Improves Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the Discrete ViT + Pixel model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the Discrete ViT + Pyramid model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the RegViT (RandAug) + Adv Pixel model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the Discrete ViT model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ResNet-152 model in the ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the RegViT (RandAug) + Random Pyramid model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the RegViT (RandAug) model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ResNet-50 + GroupNorm model in the Improving robustness against common corruptions by covariate shift adaptation paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ResNet-50 + RoHL model in the Improving robustness against common corruptions by covariate shift adaptation paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the RegViT (RandAug) + Random Pixel model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the MLP-Mixer + Pyramid model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ResNet-50 + FixUp model in the Improving robustness against common corruptions by covariate shift adaptation paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ResNet-50 + MixUp (rescaled) model in the On Mixup Regularization paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the DeiT-S model in the Optimizing Relevance Maps of Vision Transformers Improves Robustness paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ResNet-18 + GenInt with Transfer model in the Generative Interventions for Causal Learning paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the MLP-Mixer model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the RELICv2 model in the Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ViT + MixUp model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the C-BYOL model in the Compressive Visual Representations paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the MLP-Mixer + Pixel model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the BYOL (BG_RM) model in the Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the RELIC model in the Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the BYOL model in the Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the SwAV (BG_RM) model in the Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ViT + CutMix model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the MoCo-v2 (BG_Swaps) model in the Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the C-SimCLR model in the Compressive Visual Representations paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the SeLa(v2) (reverse linear probing) model in the Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the DILEMMA model in the Representation Learning by Detecting Incorrect Location Embeddings paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the DeepCluster(v2) (reverse linear probing) model in the Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the VGG-14 model in the ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ResNet-50 (ImageNet-Captions) model in the Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP) paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the SwAV (reverse linear probing) model in the Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ViT model in the Pyramid Adversarial Training Improves ViT Performance paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ResNet34-RPG model in the Compact and Optimal Deep Learning with Recurrent Parameter Generators paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the CLIP (CC12M pretrain) model in the Robust Cross-Modal Representation Learning with Progressive Self-Distillation paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the SimCLR model in the Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ResNet-152 (FRCNN-ag-ad, VOC) model in the Class-agnostic Object Detection paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the MoCo(v2) (reverse linear probing) model in the Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the MoCHi (reverse linear probing) model in the Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the OBoW (reverse linear probing) model in the Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the AlexNet model in the ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the BigBiGAN (RevNet-50 4×) model in the Self-Supervised Learning for Large-Scale Unsupervised Image Clustering paper on the ObjectNet dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the µ2Net+ (ViT-L/16) model in the A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems paper on the CARS196 dataset? | Accuracy |
What metrics were used to measure the SEER (RegNet10B) model in the Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision paper on the CLEVR/Dist dataset? | Top 1 Accuracy |
What metrics were used to measure the SEER (RegNetY-128GF) model in the Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision paper on the CLEVR/Dist dataset? | Top 1 Accuracy |
What metrics were used to measure the WaveMixLite-128/16 model in the WaveMix: A Resource-efficient Neural Network for Image Analysis paper on the EMNIST-Bymerge dataset? | Accuracy |
What metrics were used to measure the Model soups (BASIC-L) model in the Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the ViT-e model in the PaLI: A Jointly-Scaled Multilingual Language-Image Model paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the Model soups (ViT-G/14) model in the Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the SwinV2-G model in the Swin Transformer V2: Scaling Up Capacity and Resolution paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the ViT-G/14 model in the Scaling Vision Transformers paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the MAWS (ViT-2B) model in the The effectiveness of MAE pre-pretraining for billion-scale pretraining paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the MOAT-4 (IN-22K pretraining) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the SWAG (ViT H/14) model in the Revisiting Weakly Supervised Pre-Training of Visual Perception Models paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the MOAT-3 (IN-22K pretraining) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the MOAT-2 (IN-22K pretraining) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the MOAT-1 (IN-22K pretraining) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the SwinV2-B model in the Swin Transformer V2: Scaling Up Capacity and Resolution paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the VOLO-D5 model in the VOLO: Vision Outlooker for Visual Recognition paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the VOLO-D4 model in the VOLO: Vision Outlooker for Visual Recognition paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the CAIT-M36-448 model in the Going deeper with Image Transformers paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the SEER (RegNet10B) model in the Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the ResMLP-B24/8 22k model in the ResMLP: Feedforward networks for image classification with data-efficient training paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the ViT-B-36x1 model in the Three things everyone should know about Vision Transformers paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the ResMLP-B24/8 model in the ResMLP: Feedforward networks for image classification with data-efficient training paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the Sequencer2D-L model in the Sequencer: Deep LSTM for Image Classification paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the LeViT-384 model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the ImageNet V2 dataset? | Top 1 Accuracy |
What metrics were used to measure the LeViT-256 model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the ImageNet V2 dataset? | Top 1 Accuracy |
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