prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the RepMLPNet-L256 model in the RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the NEXcepTion-TP model in the From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the NAT-Mini model in the Neighborhood Attention Transformer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the DiNAT-Mini model in the Dilated Neighborhood Attention Transformer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNet-152 (A2) model in the ResNet strikes back: An improved training procedure in timm paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the MEAL V2 (ResNet-50) (380 res) model in the MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the gSwin-T model in the gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the FBNetV5-A-CLS model in the FBNetV5: Neural Architecture Search for Multiple Tasks in One Run paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the T2T-ViT-14 model in the Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the QnA-ViT-Tiny model in the Learned Queries for Efficient Local Attention paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the AutoFormer-small model in the AutoFormer: Searching Transformers for Visual Recognition paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the Shift-T model in the When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the BoTNet T3 model in the Bottleneck Transformers for Visual Recognition paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CvT-13 model in the CvT: Introducing Convolutions to Vision Transformers paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNet-152 (SAM) model in the Sharpness-Aware Minimization for Efficiently Improving Generalization paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CloFormer-S model in the Rethinking Local Perception in Lightweight Vision Transformer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted 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 dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ReXNet_2.0 model in the Rethinking Channel Dimensions for Efficient Model Design paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the SE-CoTNetD-50 model in the Contextual Transformer Networks for Visual Recognition paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the gMLP-B model in the Pay Attention to MLPs paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CoE-Large + CondConv model in the Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the NEXcepTion-T model in the From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the NoisyStudent (EfficientNet-B1) model in the Self-training with Noisy Student improves ImageNet classification paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the TinyViT-11M model in the TinyViT: Fast Pretraining Distillation for Small Vision Transformers paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the Transformer local-attention (NesT-T) model in the Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the T2T-ViT-14 model in the Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CrossViT-15 model in the CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the PyConvResNet-101 model in the Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the NASViT-A4 model in the NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the DeiT-S with iRPE-QKV model in the Rethinking and Improving Relative Position Encoding for Vision Transformer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ViT-S @224 (DeiT III) model in the DeiT III: Revenge of the ViT paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the BiFormer-T (IN1k ptretrain) model in the BiFormer: Vision Transformer with Bi-Level Routing Attention paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the MobileOne-S4 (distill) model in the MobileOne: An Improved One millisecond Mobile Backbone paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the SENet-101 model in the Bottleneck Transformers for Visual Recognition paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CCT-14/7x2 model in the Escaping the Big Data Paradigm with Compact Transformers paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the GFNet-S model in the Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNet-200 (Adversarial Autoaugment) model in the Adversarial AutoAugment paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNet-152 model in the Parametric Contrastive Learning paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the MultiGrain PNASNet (300px) model in the MultiGrain: a unified image embedding for classes and instances paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ConViT-S model in the ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the Swin-T model in the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the SimpleNetV1-9m-correct-labels model in the Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the Res2Net-101 model in the Res2Net: A New Multi-scale Backbone Architecture paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNeXt-101 (Debiased+CutMix) model in the Shape-Texture Debiased Neural Network Training paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the PVT-S (+MixPro) model in the MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the Swin-T (PuzzleMix+DM) model in the Harnessing Hard Mixed Samples with Decoupled Regularizer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the TransBoost-ResNet50-StrikesBack model in the TransBoost: Improving the Best ImageNet Performance using Deep Transduction paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNeSt-50 model in the ResNeSt: Split-Attention Networks paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the DeiT-S (SAMix+DM) model in the Harnessing Hard Mixed Samples with Decoupled Regularizer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the DeiT-S with iRPE-QK model in the Rethinking and Improving Relative Position Encoding for Vision Transformer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the EfficientNet-B3 model in the EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the VAN-B1 model in the Visual Attention Network paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the RevBiFPN-S3 model in the RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
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 dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the DynamicViT-S model in the Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNet-101 (SAMix) model in the Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the NASViT-A3 model in the NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ViTAE-13M model in the ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNet-101 (AutoMix) model in the AutoMix: Unveiling the Power of Mixup for Stronger Classifiers paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the DeiT-S (AutoMix+DM) model in the Harnessing Hard Mixed Samples with Decoupled Regularizer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNet-101 model in the Parametric Contrastive Learning paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CAIT-XXS-24 model in the Going deeper with Image Transformers paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the DeiT-S with iRPE-K model in the Rethinking and Improving Relative Position Encoding for Vision Transformer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CentroidViT-S (arXiv, 2021-02) model in the Centroid Transformers: Learning to Abstract with Attention paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNeXt-101 64x4 model in the Aggregated Residual Transformations for Deep Neural Networks paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the AlphaNet-A6 model in the AlphaNet: Improved Training of Supernets with Alpha-Divergence paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNet-200 (Supervised Contrastive) model in the Supervised Contrastive Learning paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the UniNet-B0 model in the UniNet: Unified Architecture Search with Convolution, Transformer, and MLP paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the LocalViT-S model in the LocalViT: Bringing Locality to Vision Transformers paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the DAFT-conv (384 heads, 300 epochs) model in the A Dot Product Attention Free Transformer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResMLP-S24 model in the ResMLP: Feedforward networks for image classification with data-efficient training paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the TinyViT-5M-distill (21k) model in the TinyViT: Fast Pretraining Distillation for Small Vision Transformers paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CoE-Large model in the Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the MEAL V2 (ResNet-50) (224 res) model in the MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the TokenLearner-ViT-8 model in the Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNeSt-50-fast model in the ResNeSt: Split-Attention Networks paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the TransBoost-ResNet152 model in the TransBoost: Improving the Best ImageNet Performance using Deep Transduction paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNet-200 (Fast AA) model in the Fast AutoAugment paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CaiT-XXS (+MixPro) model in the MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNeXt-101 (CutMix) model in the CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the NASViT-A2 model in the NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the Attention-92 model in the Residual Attention Network for Image Classification paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the NAT-M4 model in the Neural Architecture Transfer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the IPT-T model in the IncepFormer: Efficient Inception Transformer with Pyramid Pooling for Semantic Segmentation paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the GLiT-Smalls model in the GLiT: Neural Architecture Search for Global and Local Image Transformer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the HCGNet-C model in the Gated Convolutional Networks with Hybrid Connectivity for Image Classification paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the DVT (T2T-ViT-12) model in the Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the UniNet-B1 model in the UniNet: Unified Architecture Search with Convolution, Transformer, and MLP paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the DeiT-S (T2) model in the ResNet strikes back: An improved training procedure in timm paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted 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 ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the gSwin-VT model in the gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the AlphaNet-A5 model in the AlphaNet: Improved Training of Supernets with Alpha-Divergence paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ResNet-50+AutoDropout+RandAugment model in the AutoDropout: Learning Dropout Patterns to Regularize Deep Networks paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ReXNet_1.5 model in the Rethinking Channel Dimensions for Efficient Model Design paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CCT-16/7x2 model in the Escaping the Big Data Paradigm with Compact Transformers paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the DeiT-S (PuzzleMix+DM) model in the Harnessing Hard Mixed Samples with Decoupled Regularizer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the iAFF-ResNeXt-50-32x4d model in the Attentional Feature Fusion paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the FixEfficientNet-B0 model in the Fixing the train-test resolution discrepancy: FixEfficientNet paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the DAFT-conv (16 heads) model in the A Dot Product Attention Free Transformer paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the ConvMLP-L model in the ConvMLP: Hierarchical Convolutional MLPs for Vision paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
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