prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Inception-v3 (Spinal FC) model in the A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification paper on the 10 Monkey Species dataset? | Accuracy |
What metrics were used to measure the WideResNet-101(Spinal FC) model in the A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification paper on the 10 Monkey Species dataset? | Accuracy |
What metrics were used to measure the VGG-19_bn model in the A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification paper on the 10 Monkey Species dataset? | Accuracy |
What metrics were used to measure the CNN model in the Performing Image Classification for 10 Different Monkey Species using CNN paper on the 10 Monkey Species dataset? | Accuracy |
What metrics were used to measure the VIT-L/16 (Background) model in the Reduction of Class Activation Uncertainty with Background Information paper on the Caltech-101 dataset? | Top-1 Error Rate, Accuracy |
What metrics were used to measure the Wide-ResNet-101 (Spinal FC) model in the SpinalNet: Deep Neural Network with Gradual Input paper on the Caltech-101 dataset? | Top-1 Error Rate, Accuracy |
What metrics were used to measure the Wide-ResNet-101 model in the SpinalNet: Deep Neural Network with Gradual Input paper on the Caltech-101 dataset? | Top-1 Error Rate, 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 Caltech-101 dataset? | Top-1 Error Rate, Accuracy |
What metrics were used to measure the ResNeXt-101-32x8d model in the Dead Pixel Test Using Effective Receptive Field paper on the Caltech-101 dataset? | Top-1 Error Rate, Accuracy |
What metrics were used to measure the TWIST (ResNet-50 ) model in the Self-Supervised Learning by Estimating Twin Class Distributions paper on the Caltech-101 dataset? | Top-1 Error Rate, Accuracy |
What metrics were used to measure the VGG-19bn (Spinal FC) model in the SpinalNet: Deep Neural Network with Gradual Input paper on the Caltech-101 dataset? | Top-1 Error Rate, Accuracy |
What metrics were used to measure the µ2Net (ViT-L/16) model in the An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems paper on the Caltech-101 dataset? | Top-1 Error Rate, Accuracy |
What metrics were used to measure the NNCLR model in the With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations paper on the Caltech-101 dataset? | Top-1 Error Rate, Accuracy |
What metrics were used to measure the SEER (RegNet10B - linear eval) model in the Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision paper on the Caltech-101 dataset? | Top-1 Error Rate, Accuracy |
What metrics were used to measure the AutoAugment model in the AutoAugment: Learning Augmentation Policies from Data paper on the Caltech-101 dataset? | Top-1 Error Rate, Accuracy |
What metrics were used to measure the UL-Hopfield (ULH) model in the Unsupervised Learning using Pretrained CNN and Associative Memory Bank paper on the Caltech-101 dataset? | Top-1 Error Rate, Accuracy |
What metrics were used to measure the Bamboo (ViT-B/16) model in the Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy paper on the Caltech-101 dataset? | Top-1 Error Rate, Accuracy |
What metrics were used to measure the Pre trained wide-resnet-101 model in the ProgressiveSpinalNet architecture for FC layers paper on the Caltech-101 dataset? | Top-1 Error Rate, Accuracy |
What metrics were used to measure the ResNet152 + COOC model in the Fine-Grained Vehicle Classification with Unsupervised Parts Co-occurrence Learning paper on the BoxCars116K dataset? | Accuracy |
What metrics were used to measure the ResNet101-swp model in the Deep CNNs With Spatially Weighted Pooling for Fine-Grained Car Recognition paper on the CarFlag-1532 dataset? | Accuracy |
What metrics were used to measure the Inceptionv4 model in the Non-binary deep transfer learning for image classification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the CAP model in the Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the TBMSL-Net model in the Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the CMAL-Net model in the Learn from Each Other to Classify Better: Cross-layer Mutual Attention Learning for Fine-grained Visual Classification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the PART model in the Part-guided Relational Transformers for Fine-grained Visual Recognition paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the AENet model in the Alignment Enhancement Network for Fine-grained Visual Categorization paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the CAL model in the Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the AttNet & AffNet model in the Fine-Grained Visual Classification with Efficient End-to-end Localization paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the CCFR model in the Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the DenseNet161+MM+FRL model in the Learning Class Unique Features in Fine-Grained Visual Classification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the API-Net model in the Learning Attentive Pairwise Interaction for Fine-Grained Classification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the DF-GMM model in the Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the CMN model in the paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the Multi Granularity model in the Your "Flamingo" is My "Bird": Fine-Grained, or Not paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the DB model in the Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the BCN model in the Fine-Grained Visual Classification with Batch Confusion Norm paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the ELoPE model in the ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the SEB+EfficientNet-B5 model in the On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the Grad-CAM model in the Grad-CAM guided channel-spatial attention module for fine-grained visual classification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the PMG model in the Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the CIN model in the Channel Interaction Networks for Fine-Grained Image Categorization paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the DCAL model in the Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the GCL model in the Graph-propagation based Correlation Learning for Weakly Supervised Fine-grained Image Classification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the Mix+ model in the Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the ViT-SAC model in the Fine-Grained Visual Classification using Self Assessment Classifier paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the WS-DAN model in the See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the MC Loss (B-CNN) model in the The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the EfficientNet-B7 model in the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the MHEM (strong ResNet50 baseline) model in the Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the S3N model in the Selective Sparse Sampling for Fine-Grained Image Recognition paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the PCA model in the Progressive Co-Attention Network for Fine-grained Visual Classification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the Cross-X model in the Cross-X Learning for Fine-Grained Visual Categorization paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the LIO/ResNet-50 (multi-stage) model in the Look-into-Object: Self-supervised Structure Modeling for Object Recognition paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the ELP model in the A Simple Episodic Linear Probe Improves Visual Recognition in the Wild paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the AutoAugment model in the AutoAugment: Learning Augmentation Policies from Data paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the Assemble-ResNet-FGVC-50 model in the Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the ACNet model in the Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the SEF model in the Learning Semantically Enhanced Feature for Fine-Grained Image Classification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the DFB-CNN model in the Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the MPN-COV model in the Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the NTS-Net (K=4) model in the Learning to Navigate for Fine-grained Classification paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the NAT-M4 model in the Neural Architecture Transfer paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the NAT-M3 model in the Neural Architecture Transfer paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the MACNN model in the Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the NAT-M2 model in the Neural Architecture Transfer paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the BYOL+CVSA (ResNet-50) model in the Exploring Localization for Self-supervised Fine-grained Contrastive Learning paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the NAT-M1 model in the Neural Architecture Transfer paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the NNCLR model in the With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
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 FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the Diffusion Classifier (zero-shot) model in the Your Diffusion Model is Secretly a Zero-Shot Classifier paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the EffNet-L2 (SAM) model in the Sharpness-Aware Minimization for Efficiently Improving Generalization paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the ImageNet + iNat on WS-DAN model in the Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization paper on the FGVC Aircraft dataset? | Accuracy, Top-1 Error Rate, FLOPS, PARAMS, Top-1 |
What metrics were used to measure the HERBS model in the Fine-grained Visual Classification with High-temperature Refinement and Background Suppression paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the MetaFormer
(MetaFormer-2,384) model in the MetaFormer: A Unified Meta Framework for Fine-Grained Recognition paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the PIM model in the A Novel Plug-in Module for Fine-Grained Visual Classification paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the Inception-v3 model in the The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the DCAL model in the Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the SR-GNN model in the SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the ViT-SAC model in the Fine-Grained Visual Classification using Self Assessment Classifier paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the SIM-Trans model in the SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the IELT model in the Fine-Grained Visual Classification via Internal Ensemble Learning Transformer paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the CAP model in the Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the TransFG model in the TransFG: A Transformer Architecture for Fine-grained Recognition paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the ViT-NeT (SwinV2-B) model in the ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the FFVT model in the Feature Fusion Vision Transformer for Fine-Grained Visual Categorization paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the AFTrans model in the A free lunch from ViT:Adaptive Attention Multi-scale Fusion Transformer for Fine-grained Visual Recognition paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the TPSKG model in the Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the RAMS-Trans model in the RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the CCFR model in the Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the TransIFC model in the TransIFC: Invariant Cues-aware Feature Concentration Learning for Efficient Fine-grained Bird Image Classification paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the DeepFVE model in the End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the Stacked LSTM model in the Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the Mix+ model in the Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the PART model in the Part-guided Relational Transformers for Fine-grained Visual Recognition paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the API-Net model in the Learning Attentive Pairwise Interaction for Fine-Grained Classification paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the AENet model in the Alignment Enhancement Network for Fine-grained Visual Categorization paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the Multi Granularity model in the Your "Flamingo" is My "Bird": Fine-Grained, or Not paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the M2B model in the Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the Inception-V3 model in the Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the PMG model in the Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches paper on the CUB-200-2011 dataset? | Accuracy |
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