prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the BALLAD(ResNet-50×16) model in the A Simple Long-Tailed Recognition Baseline via Vision-Language Model paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the BALLAD(ViT-B-16) model in the A Simple Long-Tailed Recognition Baseline via Vision-Language Model paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the BALLAD(ResNet-101) model in the A Simple Long-Tailed Recognition Baseline via Vision-Language Model paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the VL-LTR (ResNet-50) model in the VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the BALLAD(ResNet-50) model in the A Simple Long-Tailed Recognition Baseline via Vision-Language Model paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the GPaCo (2-ResNeXt101-32x4d) model in the Generalized Parametric Contrastive Learning paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the MDCS (ResNeXt-50) model in the MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the TADE(ResNeXt101-32x4d) model in the Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the PaCo(ResNeXt101-32x4d) model in the Parametric Contrastive Learning paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the TADE(ResNeXt-50) model in the Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the GML (ResNeXt-50) model in the Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the NCL(ResNeXt-50) model in the Nested Collaborative Learning for Long-Tailed Visual Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the PaCo(ResNeXt-50) model in the Parametric Contrastive Learning paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the BS-CMO (ResNet-50) model in the The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the CBD-ENS (ResNet-152) model in the Class-Balanced Distillation for Long-Tailed Visual Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the ResLT(ResNeXt-50-3 experts) model in the ResLT: Residual Learning for Long-tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the BatchFormer(ResNet-50, PaCo) model in the BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the NCL(ResNet-50) model in the Nested Collaborative Learning for Long-Tailed Visual Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the Difficulty-Net (ResNet-50 using RandAugment, single model) model in the Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the RIDE-DiVE model in the Distilling Virtual Examples for Long-tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the BCL(ResNeXt-50) model in the Balanced Contrastive Learning for Long-Tailed Visual Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the RIDE (ResNeXt-50) model in the Long-tailed Recognition by Routing Diverse Distribution-Aware Experts paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the GLMC (ResNeXt-50) model in the Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the BatchFormer(ResNet-50, RIDE) model in the BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the CBD-ENS (ResNet-50) model in the Class-Balanced Distillation for Long-Tailed Visual Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the ResLT(ResNeXt101-32x4d) model in the ResLT: Residual Learning for Long-tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the OPeN (ResNeXt-50) model in the Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the RIDE (ResNet-50) model in the Long-tailed Recognition by Routing Diverse Distribution-Aware Experts paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the Difficulty-Net (ResNet-50 w/o using RandAugment, single model) model in the Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the LTR-weight-balancing(ResNeXt-50) model in the Long-Tailed Recognition via Weight Balancing paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the DRO-LT model in the Distributional Robustness Loss for Long-tail Learning paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the DisAlign model in the Distribution Alignment: A Unified Framework for Long-tail Visual Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the DiVE model in the Distilling Virtual Examples for Long-tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the LDAM + DRW + SAM model in the Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the LADE model in the Disentangling Label Distribution for Long-tailed Visual Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the ResLT(ResNeXt50) model in the ResLT: Residual Learning for Long-tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the MiSLAS model in the Improving Calibration for Long-Tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the TSC(ResNet-50) model in the Targeted Supervised Contrastive Learning for Long-Tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the LDAM-DRS-RSG model in the RSG: A Simple but Effective Module for Learning Imbalanced Datasets paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the De-confound-TDE model in the Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the KCL model in the Exploring Balanced Feature Spaces for Representation Learning paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the cRT + SSP model in the Rethinking the Value of Labels for Improving Class-Imbalanced Learning paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the Logit adjustment model in the Long-tail learning via logit adjustment paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the MetaSAug (ResNet-152) model in the MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the MetaSAug with CE loss model in the MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the BLT (DenseNet-121) model in the BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the Difficulty-Net (ResNet-10 w/o using RandAugment, single model model in the Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the IEM model in the Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the smDRAGON model in the From Generalized zero-shot learning to long-tail with class descriptors paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the BALMS model in the Balanced Meta-Softmax for Long-Tailed Visual Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the CB LWS model in the Decoupling Representation and Classifier for Long-Tailed Recognition paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the CBExperts model in the Long-Tailed Recognition Using Class-Balanced Experts paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the LFME + OLTR model in the Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the CDB-loss (ResNet 10) model in the Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the BLT (ResNet-10) model in the BLT: Balancing Long-Tailed Datasets with Adversarially-Perturbed Images paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the OLTR model in the Large-Scale Long-Tailed Recognition in an Open World paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the Online Feature Augmentation model in the Feature Space Augmentation for Long-Tailed Data paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the Domain Adaptation model in the Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective paper on the ImageNet-LT dataset? | Top-1 Accuracy |
What metrics were used to measure the PEL (ViT-B/16, ImageNet-21K pre-training) model in the Parameter-Efficient Long-Tailed Recognition paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the LPT model in the LPT: Long-tailed Prompt Tuning for Image Classification paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the VPT model in the Visual Prompt Tuning paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the PEL (ViT-B/16, CLIP) model in the Parameter-Efficient Long-Tailed Recognition paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the GLMC + SAM model in the Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the GLMC (ResNet-32, channel x4) model in the Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the MDCS model in the MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the OPeN (WideResNet-28-10) model in the Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the GML (ResNet-32) model in the Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the PC model in the Learning Prototype Classifiers for Long-Tailed Recognition paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the LTR-weight-balancing model in the Long-Tailed Recognition via Weight Balancing paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the Difficulty-Net model in the Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the NCL(ResNet32) model in the Nested Collaborative Learning for Long-Tailed Visual Recognition paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the BCL(ResNet-32) model in the Balanced Contrastive Learning for Long-Tailed Visual Recognition paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the TADE model in the Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the GCL model in the Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the MiSLAS model in the Improving Calibration for Long-Tailed Recognition paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the MetaSAug-LDAM model in the MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the CBD+TailCalibX model in the Feature Generation for Long-tail Classification paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the Hybrid-PSC model in the Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the LDAM-DRW-RSG model in the RSG: A Simple but Effective Module for Learning Imbalanced Datasets paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the LDAM-DRW + SSP model in the Rethinking the Value of Labels for Improving Class-Imbalanced Learning paper on the CIFAR-100-LT (ρ=50) dataset? | Error Rate |
What metrics were used to measure the PEL (ViT-B/16) model in the Parameter-Efficient Long-Tailed Recognition paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the MAM (ViT-B/16) model in the Improving Image Recognition by Retrieving from Web-Scale Image-Text Data paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the VL-LTR (ViT-B-16) model in the VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the BALLAD(ViT-B-16) model in the A Simple Long-Tailed Recognition Baseline via Vision-Language Model paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the BALLAD(ResNet-50×16) model in the A Simple Long-Tailed Recognition Baseline via Vision-Language Model paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the VL-LTR (ResNet-50) model in the VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the BALLAD(ResNet-101) model in the A Simple Long-Tailed Recognition Baseline via Vision-Language Model paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the RAC (ViT-B-16) model in the Retrieval Augmented Classification for Long-Tail Visual Recognition paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the BALLAD(ResNet-50) model in the A Simple Long-Tailed Recognition Baseline via Vision-Language Model paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the Difficulty-Net (ResNet-152) model in the Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the GPaCo (ResNet-152) model in the Generalized Parametric Contrastive Learning paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the NCL(ResNet-152) model in the Nested Collaborative Learning for Long-Tailed Visual Recognition paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the TADE model in the Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the PaCo model in the Parametric Contrastive Learning paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the OPeN (ResNet-152) model in the Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the IEM model in the Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the LDAM-DRS-RSG model in the RSG: A Simple but Effective Module for Learning Imbalanced Datasets paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the DisAlign model in the Distribution Alignment: A Unified Framework for Long-tail Visual Recognition paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the CBExperts model in the Long-Tailed Recognition Using Class-Balanced Experts paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
What metrics were used to measure the LADE model in the Disentangling Label Distribution for Long-tailed Visual Recognition paper on the Places-LT dataset? | Top-1 Accuracy, Top 1 Accuracy |
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