prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the MaxViT-L (512res) model in the MaxViT: Multi-Axis 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 FixEfficientNet-B6 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 MOAT-3 1K only model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision 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 Heinsen Routing + BEiT-large 16 224 model in the An Algorithm for Routing Vectors in Sequences paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CLCNet (S:ViT+D:EffNet-B7) (retrain) model in the CLCNet: Rethinking of Ensemble Modeling with Classification Confidence 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 CAFormer-M36 (224 res, 21K) model in the MetaFormer Baselines 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 VAN-B4 (22K, 384res) 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 data2vec (ViT-H) model in the data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language paper on the ImageNet dataset? | Top 1 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_s-Large (224x224; Pretrained on ImageNet-22K @ 224x224) 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 MKD ViT-L model in the Meta 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 TinyViT-21M-512-distill (512 res, 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 PatchConvNet-B60-21k-384 model in the Augmenting Convolutional networks with attention-based aggregation paper on the ImageNet dataset? | Top 1 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-M-48-448 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 NFNet-F6 w/ SAM model in the High-Performance Large-Scale Image Recognition Without 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 CLCNet (S:ViT+D:VOLO-D3) (retrain) model in the CLCNet: Rethinking of Ensemble Modeling with Classification Confidence 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 CLCNet (S:ConvNeXt-L+D:EffNet-B7) (retrain) model in the CLCNet: Rethinking of Ensemble Modeling with Classification Confidence 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 MaxViT-L (384res) model in the MaxViT: Multi-Axis 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 FixEfficientNet-B5 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 ConvFormer-S36 (384 res, 21K) model in the MetaFormer Baselines 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 NoisyStudent (EfficientNet-B6) 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 Swin-B (384 res, ImageNet-22k pretrain) 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 CAFormer-B36 (384 res) model in the MetaFormer Baselines 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 LV-ViT-L model in the All Tokens Matter: Token Labeling for Training Better 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 FixResNeXt-101 32x48d 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 MaxViT-B (384res) model in the MaxViT: Multi-Axis 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 Bamboo (Bamboo-L) model in the A Study on Transformer Configuration and Training Objective paper on the ImageNet dataset? | Top 1 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@224 (cosub) model in the Co-training $2^L$ Submodels 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 Our SP-ViT-L|384 model in the SP-ViT: Learning 2D Spatial Priors for 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 BEiT-L (ViT; ImageNet 1k pretrain) model in the BEiT: BERT Pre-Training of 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 VOLO-D3 model in the VOLO: Vision Outlooker 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 VAN-B5 (22K) 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 UniFormer-L (384 res) model in the UniFormer: Unifying Convolution and Self-attention 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 MViTv2-L (384 res) model in the MViTv2: Improved Multiscale Vision Transformers for Classification and Detection paper on the ImageNet dataset? | Top 1 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-M36-448 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 NFNet-F5 w/ SAM model in the High-Performance Large-Scale Image Recognition Without 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 Swin-B@224 (cosub) model in the Co-training $2^L$ Submodels 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 TinyViT-21M-384-distill (384 res, 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 CAFormer-M36 (384 res) model in the MetaFormer Baselines 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 MaxViT-S (512res) model in the MaxViT: Multi-Axis 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 NoisyStudent (EfficientNet-B5) 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 EfficientNetV2-M (21k) model in the EfficientNetV2: Smaller Models and Faster 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 ConvFormer-M36 (224 res, 21K) model in the MetaFormer Baselines 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 CAIT-M-36 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 Refiner-ViT-L model in the Refiner: Refining Self-attention for 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 GPaCo (ViT-L) 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 Omnivore (Swin-L) model in the Omnivore: A Single Model for Many Visual Modalities paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the Our SP-ViT-M|384 model in the SP-ViT: Learning 2D Spatial Priors for 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 VOLO-D2 model in the VOLO: Vision Outlooker 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 XCiT-L24 model in the XCiT: Cross-Covariance 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 SparK (ConvNeXt-Large, 384) model in the Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the NFNet-F5 model in the High-Performance Large-Scale Image Recognition Without 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 MAE (ViT-L) model in the Masked Autoencoders Are Scalable Vision Learners paper on the ImageNet dataset? | Top 1 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-B4 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 NFNet-F4 model in the High-Performance Large-Scale Image Recognition Without 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 ConvNeXt-B@224 (cosub) model in the Co-training $2^L$ Submodels 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 PiT-B@224 (cosub) model in the Co-training $2^L$ Submodels 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 CAFormer-S36 (224 res, 21K) model in the MetaFormer Baselines 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 XCiT-M24 model in the XCiT: Cross-Covariance 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 Fix-EfficientNet-B8 (MaxUp + CutMix) model in the MaxUp: A Simple Way to Improve Generalization of 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 KDforAA (EfficientNet-B8) model in the Circumventing Outliers of AutoAugment with 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 CAIT-M-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 ViT-L @384 (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 SEER (RG-10B) model in the Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the MaxViT-T(512res) model in the MaxViT: Multi-Axis 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 FixEfficientNet-B8 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 EfficientNetV2-L model in the EfficientNetV2: Smaller Models and Faster 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 ViT-B @224 (DeiT III, 21k) 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 dBOT ViT-B (CLIP as Teacher) model in the Exploring Target Representations for Masked Autoencoders paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CAFormer-S36 (384 res) model in the MetaFormer Baselines 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 VAN-B4 (22K) 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 ConvFormer-B36 (384 res) model in the MetaFormer Baselines 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 NFNet-F3 model in the High-Performance Large-Scale Image Recognition Without 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 ViT-H @224 (DeiT-III + AugSub) model in the Augmenting Sub-model to Improve Main Model paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the XCiT-S24 model in the XCiT: Cross-Covariance 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 ConvFormer-M36 (384 res) model in the MetaFormer Baselines 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 UniFormer-L model in the UniFormer: Unifying Convolution and Self-attention 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 ViT-L@384 (attn finetune) model in the Three things everyone should know about 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 Our SP-ViT-L model in the SP-ViT: Learning 2D Spatial Priors for 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 Mini-Swin-B@384 model in the MiniViT: Compressing Vision Transformers with Weight Multiplexing paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the Wave-ViT-L model in the Wave-ViT: Unifying Wavelet and Transformers for Visual Representation 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 KDforAA (EfficientNet-B7) model in the Circumventing Outliers of AutoAugment with 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 HaloNet4 (base 128, Conv-12) model in the Scaling Local Self-Attention for Parameter Efficient Visual Backbones paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the AdvProp (EfficientNet-B8) model in the Adversarial Examples Improve 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 CAFormer-B36 (224 res) model in the MetaFormer Baselines 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 ConvNeXt-L (384 res) model in the A ConvNet for the 2020s paper on the ImageNet dataset? | Top 1 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-B8 (RandAugment) model in the RandAugment: Practical automated data augmentation with a reduced search space paper on the ImageNet dataset? | Top 1 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-B* (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 PatchConvNet-S60-21k-512 model in the Augmenting Convolutional networks with attention-based aggregation paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CAFormer-S18 (384 res, 21K) model in the MetaFormer Baselines 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 ConvFormer-S36 (224 res, 21K) model in the MetaFormer Baselines 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 ConvFormer-S36 (384 res) model in the MetaFormer Baselines 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 CAIT-S-36 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 ResNeXt-101 32x48d model in the Exploring the Limits of Weakly Supervised Pretraining paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the BiT-M (ResNet) model in the Big Transfer (BiT): General Visual Representation 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 Omnivore (Swin-B) model in the Omnivore: A Single Model for Many Visual Modalities paper on the ImageNet dataset? | Top 1 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-L/16 Dosovitskiy et al. (2021) model in the MLP-Mixer: An all-MLP Architecture 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 NoisyStudent (EfficientNet-B4) 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 CAIT-S-48 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 ViT-L @224 (DeiT-III + AugSub) model in the Augmenting Sub-model to Improve Main Model paper on the ImageNet dataset? | Top 1 Accuracy, Number of params, GFLOPs, Top 5 Accuracy, Hardware Burden, Operations per network pass, Continual Weighted Accuracy |
What metrics were used to measure the CLCNet (S:D1+D:D5) model in the CLCNet: Rethinking of Ensemble Modeling with Classification Confidence 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 |
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