prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the SGE (GNN-Tag) model in the Shape-Biased Domain Generalization via Shock Graph Embeddings paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the BayesPrompt model in the paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the D-Triplet(RegNetY-16GF) model in the Domain-aware Triplet loss in Domain Generalization paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the D-Triplet(Resnet-50) model in the Domain-aware Triplet loss in Domain Generalization paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the PromptStyler (CLIP, ViT-L/14) model in the PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the CAR-FT (CLIP, ViT-B/16) model in the Context-Aware Robust Fine-Tuning paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the SIMPLE+ model in the SIMPLE: Specialized Model-Sample Matching for Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the Ensemble of Averages (RegNetY-16GF) model in the Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the MIRO (RegNetY-16GF, SWAD) model in the Domain Generalization by Mutual-Information Regularization with Pre-trained Models paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the PromptStyler (CLIP, ViT-B/16) model in the PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the SEDGE+ model in the Domain Generalization using Pretrained Models without Fine-tuning paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the Ensemble of Averages (ResNeXt-50 32x4d) model in the Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the Hybrid-SF-MoE model in the Sparse Mixture-of-Experts are Domain Generalizable Learners paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the CADG model in the CADG: A Model Based on Cross Attention for Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the PromptStyler (CLIP, ResNet-50) model in the PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the SIMPLE model in the SIMPLE: Specialized Model-Sample Matching for Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the GMoE-S/16 model in the Sparse Mixture-of-Experts are Domain Generalizable Learners paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the Ensemble of Averages (ResNet-50) model in the Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the MIRO (ResNet-50, SWAD) model in the Domain Generalization by Mutual-Information Regularization with Pre-trained Models paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the DDG model in the Dynamic Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the AdaClust (ResNet-50, SWAD) model in the Adaptive Methods for Aggregated Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the SWAD (ResNet-50) model in the SWAD: Domain Generalization by Seeking Flat Minima paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the SEDGE model in the Domain Generalization using Pretrained Models without Fine-tuning paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the Meta-DMoE (ResNet-50) model in the Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the POEM model in the POEM: Polarization of Embeddings for Domain-Invariant Representations paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the DMG (ResNet-50) model in the Learning to Balance Specificity and Invariance for In and Out of Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the MetaReg (ResNet-50) model in the Learning to Balance Specificity and Invariance for In and Out of Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the AdaClust (ResNet-50) model in the Adaptive Methods for Aggregated Domain Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the Fishr (ResNet-50) model in the Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the ITEN model in the Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation paper on the WildDash dataset? | Mean IoU |
What metrics were used to measure the CSD (Ours) model in the Efficient Domain Generalization via Common-Specific Low-Rank Decomposition paper on the LipitK dataset? | Accuracy |
What metrics were used to measure the NAS-OoD model in the NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization paper on the NICO Vehicle dataset? | Accuracy |
What metrics were used to measure the DecAug (Resnet-18) model in the DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation paper on the NICO Vehicle dataset? | Accuracy |
What metrics were used to measure the DRO (Resnet-18) model in the Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization paper on the NICO Vehicle dataset? | Accuracy |
What metrics were used to measure the ResNet-18 model in the Domain Generalization by Solving Jigsaw Puzzles paper on the NICO Vehicle dataset? | Accuracy |
What metrics were used to measure the CORAL (Resnet-18) model in the Deep CORAL: Correlation Alignment for Deep Domain Adaptation paper on the NICO Vehicle dataset? | Accuracy |
What metrics were used to measure the VOLO-D5 model in the VOLO: Vision Outlooker for Visual Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ConvNeXt-B model in the A ConvNet for the 2020s paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ViT-16/L model in the An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNeXt-101 32x16d model in the Aggregated Residual Transformations for Deep Neural Networks paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ViT-16/B model in the An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B8 (advprop+autoaug) model in the Adversarial Examples Improve Image Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B7 (advprop+autoaug) model in the Adversarial Examples Improve Image Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B6 (advprop+autoaug) model in the Adversarial Examples Improve Image Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B5 (advprop+autoaug) model in the Adversarial Examples Improve Image Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ViT-16/L-224 model in the An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (gn) model in the ResNet strikes back: An improved training procedure in timm paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ViT-32/B model in the An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B4 (advprop+autoaug) model in the Adversarial Examples Improve Image Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-152 model in the Deep Residual Learning for Image Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ViT-16/B-224 model in the An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ViT-32/L model in the An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-101 model in the Deep Residual Learning for Image Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B6 (autoaug) model in the AutoAugment: Learning Augmentation Strategies From Data paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B5 (autoaug) model in the AutoAugment: Learning Augmentation Strategies From Data paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B3 (advprop+autoaug) model in the Adversarial Examples Improve Image Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ViT-8/B-224 model in the An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B7 (autoaug) model in the AutoAugment: Learning Augmentation Strategies From Data paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B7 (randaug) model in the RandAugment: Practical automated data augmentation with a reduced search space paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B4 (autoaug) model in the AutoAugment: Learning Augmentation Strategies From Data paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B2 (advprop+autoaug) model in the Adversarial Examples Improve Image Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 model in the Deep Residual Learning for Image Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B5 model in the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B3 (autoaug) model in the AutoAugment: Learning Augmentation Policies from Data paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B1 (advprop+autoaug) model in the Adversarial Examples Improve Image Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (augmix) model in the AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B5 (randaug) model in the RandAugment: Practical automated data augmentation with a reduced search space paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-101 (lpf3) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B4 model in the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B2 (autoaug) model in the AutoAugment: Learning Augmentation Policies from Data paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (lpf5) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (deepaugment) model in the The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-101 (lpf2) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-101 (lpf5) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B3 model in the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B0 (advprop+autoaug) model in the Adversarial Examples Improve Image Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (deepaugment+augmix) model in the The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (lpf2) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (lpf3) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-26-D model in the Bag of Tricks for Image Classification with Convolutional Neural Networks paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B1 (autoaug) model in the AutoAugment: Learning Augmentation Policies from Data paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (SIN_IN_IN) model in the ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (IN-C) model in the Measuring Robustness to Natural Distribution Shifts in Image Classification paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (IN-C_brightness) model in the Measuring Robustness to Natural Distribution Shifts in Image Classification paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the DenseNet121 (lpf5) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-34 (lpf2) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the DenseNet-121 (lpf3) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-34 (lpf3) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the DenseNet-121 (lpf2) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (IN-C_spatter) model in the Measuring Robustness to Natural Distribution Shifts in Image Classification paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (SIN_IN) model in the ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (IN-C_saturate) model in the Measuring Robustness to Natural Distribution Shifts in Image Classification paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B2 model in the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-50 (IN-C_pixelate) model in the Measuring Robustness to Natural Distribution Shifts in Image Classification paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the VGG-16 BN (lpf2) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the ResNet-34 (lpf5) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the VGG-16 BN (lpf5) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the VGG-16 BN (lpf3) model in the Making Convolutional Networks Shift-Invariant Again paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the VGG-16 BN model in the Very Deep Convolutional Networks for Large-Scale Image Recognition paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
What metrics were used to measure the EfficientNet-B1 model in the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper on the VizWiz-Classification dataset? | Accuracy - All Images, Accuracy - Corrupted Images, Accuracy - Clean Images |
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