prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the ResNet-50 (224 res, Fast Knowledge Distillation) model in the A Fast Knowledge Distillation Framework 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 DAFT-conv (384 heads, 200 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 Inception ResNet V2 model in the Inception-v4, Inception-ResNet and the Impact of Residual Connections on 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 RandWire-WS model in the Exploring Randomly Wired Neural Networks for 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 WideNet-H model in the Go Wider Instead of Deeper 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-Small + CondConv + PWLU 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 BasisNet-MV3 model in the BasisNet: Two-stage Model Synthesis for Efficient 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 AlphaNet-A4 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 MogaNet-T (256res) model in the Efficient Multi-order Gated Aggregation 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 MobileOne-S3 (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 LeViT-192 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 ResNet-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 ResNet-200 model in the Identity Mappings in Deep Residual 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 RegNetY-8.0GF model in the Designing Network Design Spaces 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-B/16-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 TransBoost-ResNet101 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 SKNet-101 model in the Selective Kernel 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 CSPResNeXt-50 + Mish model in the Mish: A Self Regularized Non-Monotonic Activation Function 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 FixResNet-50 CutMix model in the Fixing the train-test resolution discrepancy 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 kNN-CLIP model in the Revisiting a kNN-based Image Classification System with High-capacity Storage 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-XS 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 EfficientNet-B2 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 GC ViT-XXT model in the Global Context 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 CSPResNeXt-50 (Mish+Aug) model in the CSPNet: A New Backbone that can Enhance Learning Capability of CNN 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-full 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 DVT (T2T-ViT-10) 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 NASViT-A1 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 GPaCo (ResNet-50) model in the Generalized 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 ResMLP-36 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 Grafit (ResNet-50) model in the Grafit: Learning fine-grained image representations with coarse labels 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-128 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 ResT-Small model in the ResT: An Efficient Transformer 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 ReXNet_1.3 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 WideNet-L model in the Go Wider Instead of Deeper 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 (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 AlphaNet-A3 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 MultiGrain R50-AA-500 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 ResNet-50 (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 ResMLP-24 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 EdgeNeXt-S model in the EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications 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 TinyNet (GhostNet-A) model in the Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets 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 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 RegNetY-4.0GF model in the Designing Network Design Spaces 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-50 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 ScaleNet-152 model in the Data-Driven Neuron Allocation for Scale Aggregation 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 LIP-ResNet-101 model in the LIP: Local Importance-based Pooling 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 MobileViTv3-S model in the MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input 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 RedNet-152 model in the Involution: Inverting the Inherence of Convolution 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 ResNet-50 (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 PS-KD (ResNet-152 + CutMix) model in the Self-Knowledge Distillation with Progressive Refinement of Targets 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 (JFT-300M Finetuning) model in the Revisiting Unreasonable Effectiveness of Data in Deep Learning Era 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 RVT-Ti* model in the Towards Robust 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 Multiscale DEQ (MDEQ-XL) model in the Multiscale Deep Equilibrium Models 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 SimpleNetV1-5m-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 AlphaNet-A2 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 AA-ResNet-152 model in the Attention Augmented Convolutional 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 FixResNet-50 model in the Fixing the train-test resolution discrepancy 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 Diffusion Classifier model in the Your Diffusion Model is Secretly a Zero-Shot Classifier 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 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 MobileOne-S2 (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 PiT-XS model in the Rethinking Spatial Dimensions of 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 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 RedNet-101 model in the Involution: Inverting the Inherence of Convolution 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 ResNet-50 (UDA) model in the Unsupervised Data Augmentation for Consistency 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 ScaleNet-101 model in the Data-Driven Neuron Allocation for Scale Aggregation 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-ResNet50 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 Co-ResNet-152 model in the Contextual 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 MobileNetV3_large_x1_0_ssld model in the Semi-Supervised Recognition under a Noisy and Fine-grained Dataset 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-S2 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 ConvMLP-M 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 |
What metrics were used to measure the Xception model in the Xception: Deep Learning with Depthwise Separable Convolutions 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 SpineNet-143 model in the SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization 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 Mixer-B/8-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 InceptionV3 (FRN layer) model in the Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of 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 ResNet-152 + SWA model in the Averaging Weights Leads to Wider Optima and Better 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 ECA-Net (ResNet-152) model in the ECA-Net: Efficient Channel Attention for Deep 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 AlphaNet-A1 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 MixNet-L model in the MixConv: Mixed Depthwise Convolutional Kernels 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 CeiT-T (384 finetune res) model in the Incorporating Convolution Designs into Visual 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 NoisyStudent (EfficientNet-B0) 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 EfficientNet-B1 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 ResNet-50 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 SGE-ResNet101 model in the Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional 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 RepVGG-B2 model in the RepVGG: Making VGG-style ConvNets Great Again 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 model in the Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal 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 SAMix+DM (ResNet-50 RSB A3) 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-50 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 SReT-LT (Fast Knowledge Distillation) model in the A Fast Knowledge Distillation Framework 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 PVTv2-B1 model in the PVT v2: Improved Baselines with Pyramid 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 ECA-Net (ResNet-101) model in the ECA-Net: Efficient Channel Attention for Deep 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 MobileViTv3-1.0 model in the MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input 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 EdgeFormer-S model in the ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and 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 AutoMix+DM (ResNet-50 RSB A3) 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-EfficientNetB0 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 Visformer-Ti model in the Visformer: The Vision-friendly 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-12 (distilled, class-MLP) 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 RepMLP-Res50 model in the RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for 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 Res2Net-50-299 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 ResNet-152 model in the Deep Residual Learning for 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 ResNet-50-DW (Deformable Kernels) model in the Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation 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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