prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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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 ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the FixResNeXt-101 32x48d model in the Fixing the train-test resolution discrepancy paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the DeiT-B-384 model in the Training data-efficient image transformers & distillation through attention paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the BiT-M model in the Big Transfer (BiT): General Visual Representation Learning paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the DeiT-B model in the Training data-efficient image transformers & distillation through attention paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the Assemble-ResNet152 model in the Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the CeiT-S (384 finetune res) model in the Incorporating Convolution Designs into Visual Transformers paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the Sequencer2D-L model in the Sequencer: Deep LSTM for Image Classification paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the Mixer-H/14 (JFT-300M pre-train) model in the MLP-Mixer: An all-MLP Architecture for Vision paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the Assemble ResNet-50 model in the Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the NASNet-A Large model in the Learning Transferable Architectures for Scalable Image Recognition paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
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 ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the CeiT-S model in the Incorporating Convolution Designs into Visual Transformers paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
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 ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the DeiT-S model in the Training data-efficient image transformers & distillation through attention paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the ResNet-152x2-SAM model in the When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the LeViT-192 model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the ResNet50 (A1) model in the ResNet strikes back: An improved training procedure in timm paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the LeViT-128 model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the ResMLP-36 model in the ResMLP: Feedforward networks for image classification with data-efficient training paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the ResMLP-24 model in the ResMLP: Feedforward networks for image classification with data-efficient training paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the ViT-B/16-SAM model in the When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the ResMLP-12 model in the ResMLP: Feedforward networks for image classification with data-efficient training paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the Mixer-B/8-SAM model in the When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the kNN-CLIP model in the Revisiting a kNN-based Image Classification System with High-capacity Storage paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the CeiT-T model in the Incorporating Convolution Designs into Visual Transformers paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the LeViT-128S model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the DeiT-Ti model in the Training data-efficient image transformers & distillation through attention paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the NASNet-A Mobile model in the Learning Transferable Architectures for Scalable Image Recognition paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
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 ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the VGG-16 model in the Very Deep Convolutional Networks for Large-Scale Image Recognition paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the AlexNet model in the ImageNet Classification with Deep Convolutional Neural Networks paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the ViT-L @384 (DeiT III, 21k) model in the DeiT III: Revenge of the ViT paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the ViT-H @224 (DeiT III, 21k) model in the DeiT III: Revenge of the ViT paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the ViT-L @224 (DeiT III, 21k) model in the DeiT III: Revenge of the ViT paper on the ImageNet ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
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 ReaL dataset? | Accuracy, Params, Top 1 Accuracy, Number of params |
What metrics were used to measure the CoAtNet-1 model in the CoAtNet: Marrying Convolution and Attention for All Data Sizes paper on the GasHisSDB dataset? | Accuracy, Precision, F1-Score |
What metrics were used to measure the Res2Net-50 model in the Res2Net: A New Multi-scale Backbone Architecture paper on the GasHisSDB dataset? | Accuracy, Precision, F1-Score |
What metrics were used to measure the ResNeXt-50-32x4d model in the Aggregated Residual Transformations for Deep Neural Networks paper on the GasHisSDB dataset? | Accuracy, Precision, F1-Score |
What metrics were used to measure the ResNet-50 model in the Deep Residual Learning for Image Recognition paper on the GasHisSDB dataset? | Accuracy, Precision, F1-Score |
What metrics were used to measure the ResNet-18 model in the Deep Residual Learning for Image Recognition paper on the GasHisSDB dataset? | Accuracy, Precision, F1-Score |
What metrics were used to measure the EfficientNet-b0 model in the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper on the GasHisSDB dataset? | Accuracy, Precision, F1-Score |
What metrics were used to measure the RegNetY-3.2GF model in the RegNet: Self-Regulated Network for Image Classification paper on the GasHisSDB dataset? | Accuracy, Precision, F1-Score |
What metrics were used to measure the DenseNet-169 model in the Densely Connected Convolutional Networks paper on the GasHisSDB dataset? | Accuracy, Precision, F1-Score |
What metrics were used to measure the ResNet50 model in the In-domain representation learning for remote sensing paper on the So2Sat LCZ42 dataset? | Accuracy |
What metrics were used to measure the SqueezeNet + Simple Bypass model in the SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size paper on the ImageNet-P dataset? | Top 5 Accuracy |
What metrics were used to measure the ResNet model in the Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation paper on the Intel Image Classification dataset? | Acc |
What metrics were used to measure the WaveMix-224/10 model in the Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers paper on the BreakHis dataset? | Average Test Accuracy over all magnifications |
What metrics were used to measure the L3D_original_2level model in the The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled Continuously Growing Dataset paper on the Large Labelled Logo Dataset (L3D) dataset? | Eval F1 |
What metrics were used to measure the L3D_original_3level model in the The Large Labelled Logo Dataset (L3D): A Multipurpose and Hand-Labelled Continuously Growing Dataset paper on the Large Labelled Logo Dataset (L3D) dataset? | Eval F1 |
What metrics were used to measure the CCT-14/7x2 model in the Escaping the Big Data Paradigm with Compact Transformers paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class 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 Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the CvT-W24 model in the CvT: Introducing Convolutions to Vision Transformers paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class 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 Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the EffNet-L2 (SAM) model in the Sharpness-Aware Minimization for Efficiently Improving Generalization paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the ALIGN model in the Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the BiT-L (ResNet) model in the Big Transfer (BiT): General Visual Representation Learning paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the ConvMLP-S model in the ConvMLP: Hierarchical Convolutional MLPs for Vision paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the ConvMLP-L model in the ConvMLP: Hierarchical Convolutional MLPs for Vision paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the ResNet-152x4-AGC (ImageNet-21K) model in the Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the BiT-M (ResNet) model in the Big Transfer (BiT): General Visual Representation Learning paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class 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 Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the TResNet-L model in the TResNet: High Performance GPU-Dedicated Architecture paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the Grafit (RegNet-8GF) model in the Grafit: Learning fine-grained image representations with coarse labels paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the CaiT-M-36 U 224 model in the Going deeper with Image Transformers paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the WideResNet-101 model in the Reduction of Class Activation Uncertainty with Background Information paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the DAT model in the Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the EfficientNet-B7 model in the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the EfficientNetV2-L model in the EfficientNetV2: Smaller Models and Faster Training paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the GFNet-H-B model in the Global Filter Networks for Image Classification paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the DeiT-B model in the Training data-efficient image transformers & distillation through attention paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the CeiT-S (384 finetune resolution) model in the Incorporating Convolution Designs into Visual Transformers paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the EfficientNetV2-M model in the EfficientNetV2: Smaller Models and Faster Training paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the ViT-B (attn finetune) model in the Three things everyone should know about Vision Transformers paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class 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 Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the NAT-M4 model in the Neural Architecture Transfer paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the ResNet-50x1-ACG (ImageNet-21K) model in the Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the CeiT-S model in the Incorporating Convolution Designs into Visual Transformers paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the NAT-M3 model in the Neural Architecture Transfer paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the ResNet50 (A1) model in the ResNet strikes back: An improved training procedure in timm paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the EfficientNetV2-S model in the EfficientNetV2: Smaller Models and Faster Training paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the ResMLP24 model in the ResMLP: Feedforward networks for image classification with data-efficient training paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the NAT-M2 model in the Neural Architecture Transfer paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the TransBoost-ResNet50 model in the TransBoost: Improving the Best ImageNet Performance using Deep Transduction paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the CeiT-T (384 finetune resolution) model in the Incorporating Convolution Designs into Visual Transformers paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the LeViT-192 model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class 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 Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the ResMLP12 model in the ResMLP: Feedforward networks for image classification with data-efficient training paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the CS-Parts model in the Classification-Specific Parts for Improving Fine-Grained Visual Categorization paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the CeiT-T model in the Incorporating Convolution Designs into Visual Transformers paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the LeViT-128S model in the LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class 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 Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class 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 Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the ViT-B/16- SAM model in the When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the ViT-S/16- SAM model in the When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the ResNet-152-SAM model in the When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the ResNet-50-SAM model in the When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the Mixer-B/16- SAM model in the When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
What metrics were used to measure the Mixer-S/16- SAM model in the When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations paper on the Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
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 Flowers-102 dataset? | Accuracy, FLOPS, PARAMS, Per-Class Accuracy |
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