prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the SALG-ST model in the Semantic-Aware Local-Global 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 RedNet-26 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 FractalNet-34 model in the FractalNet: Ultra-Deep Neural Networks without Residuals 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-S 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 CoordConv ResNet-50 model in the An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution 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-128S 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 GhostNet ×1.3 model in the GhostNet: More Features from Cheap Operations 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 LR-Net-26 model in the Local Relation 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 Mixer-S16 + STD model in the Spatial-Channel Token Distillation for Vision 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 SimpleNetV1-small-075-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 MnasNet-A2 model in the MnasNet: Platform-Aware Neural Architecture Search for Mobile 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 SCARLET-C model in the SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing 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 PAWS (ResNet-50, 10% labels) model in the Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples 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-600MF 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 ShuffleNet V2 model in the ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture 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 VAN-B0 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 AsymmNet-Large ×1.0 model in the AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks 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 FairNAS-A model in the FairNAS: Rethinking Evaluation Fairness of Weight Sharing 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 ViTAE-T 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 MUXNet-m model in the MUXConv: Information Multiplexing in 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 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 MnasNet-A1 model in the MnasNet: Platform-Aware Neural Architecture Search for Mobile 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 MobileNet V3-Large 1.0 model in the Searching for MobileNetV3 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 DiCENet model in the DiCENet: Dimension-wise Convolutions for Efficient 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 MultiGrain NASNet-A-Mobile (350px) 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 FairNAS-B model in the FairNAS: Rethinking Evaluation Fairness of Weight Sharing 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 ResNet-34 (X-volution, stage3) model in the X-volution: On the unification of convolution and self-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 Ghost-ResNet-50 (s=2) model in the GhostNet: More Features from Cheap Operations 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 DenseNet-121 model in the Densely Connected 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 Single-Path NAS model in the Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours 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 WaveMix-192/16 (level 3) model in the WaveMix: A Resource-efficient Neural Network for Image Analysis 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 FF model in the Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well 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 FBNet-C model in the FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable 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 ESPNetv2 model in the ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural 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 MobileViT-XS model in the MobileViT: Light-weight, General-purpose, and Mobile-friendly 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 LocalViT-T 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 RandWire-WS (small) 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 AutoFormer-tiny 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 MobileNetV2 (1.4) model in the MobileNetV2: Inverted Residuals and Linear Bottlenecks 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 FairNAS-C model in the FairNAS: Rethinking Evaluation Fairness of Weight Sharing 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 ReXNet_0.6 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 Proxyless model in the ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware 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-Ti 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 DY-MobileNetV2 ×1.0 model in the Dynamic Convolution: Attention over Convolution 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 SimpleNetV1-9m 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 RegNetY-400MF 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 Ghost-ResNet-50 (s=4) model in the GhostNet: More Features from Cheap Operations 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-ExT model in the Sliced Recursive 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 GhostNet ×1.0 model in the GhostNet: More Features from Cheap Operations 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-T (+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 DeiT-Ti 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 TransBoost-ResNet18 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 Wide ResNet-50 (edge-popup) model in the What's Hidden in a Randomly Weighted Neural 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-18 (MEAL V2) 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 ConViT-Ti 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 RevBiFPN-S0 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 DY-MobileNetV2 ×0.75 model in the Dynamic Convolution: Attention over Convolution 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 DY-ResNet-18 model in the Dynamic Convolution: Attention over Convolution 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 ECA-Net (MobileNetV2) 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 MobileNet-224 (CGD) model in the Compact Global Descriptor for 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 MobileOne-S0 (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 LocalViT-T2T 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 MobileViTv3-0.5 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 ResNet-18 (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 ResNet-50 model in the On the adequacy of untuned warmup for adaptive optimization 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-18 (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 MobileNetV2 model in the MobileNetV2: Inverted Residuals and Linear Bottlenecks 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 Ours model in the QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework 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 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 ResNet-18 (PAD-L2 w/ ResNet-34 teacher) model in the torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation 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 MUXNet-s model in the MUXConv: Information Multiplexing in 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 PDC model in the Augmenting Deep Classifiers with Polynomial 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-18 (FT w/ ResNet-34 teacher) model in the torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation 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 EfficientFormer-V2-S0 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 MobileOne-S0 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 ResNet-18 (KD w/ ResNet-34 teacher) model in the torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation 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 Dspike (VGG-16) model in the Differentiable Spike: Rethinking Gradient-Descent for Training Spiking 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 EdgeNeXt-XXS 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 ResNet-18 (L2 w/ ResNet-34 teacher) model in the torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation 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-XXS 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 ResNet-18 (CRD w/ ResNet-34 teacher) model in the torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation 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 ShuffleNet model in the ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices 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 MobileNet-224 ×1.25 model in the MobileNets: Efficient Convolutional Neural Networks 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 PSN (SEW ResNet-34) model in the Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies 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-18 (tf-KD w/ ResNet-18 teacher) model in the torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation 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-B0 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 ResNet-18 (SSKD w/ ResNet-34 teacher) model in the torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation 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 DY-MobileNetV3-Small model in the Dynamic Convolution: Attention over Convolution 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 HVT-Ti-1 model in the Scalable Vision Transformers with Hierarchical 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 DY-MobileNetV2 ×0.5 model in the Dynamic Convolution: Attention over Convolution 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 AsymmNet-Large ×0.5 model in the AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks 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-small-05-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 Heteroscedastic (InceptionResNet-v2) model in the Correlated Input-Dependent Label Noise in Large-Scale 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 AsymmNet-Small ×1.0 model in the AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks 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 FireCaffe (GoogLeNet) model in the FireCaffe: near-linear acceleration of deep neural network training on compute clusters 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 Graph-RISE (40M) model in the Graph-RISE: Graph-Regularized Image Semantic Embedding 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-small-075 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 ReActNet-A (BN-Free) model in the "BNN - BN = ?": Training Binary Neural Networks without Batch Normalization 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 DY-ResNet-10 model in the Dynamic Convolution: Attention over Convolution 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 WaveMixLite-256/24 model in the WaveMix-Lite: A Resource-efficient Neural Network for Image Analysis 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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