prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the ViT model in the AST: Audio Spectrogram Transformer paper on the CREMA-D dataset? | Accuracy |
What metrics were used to measure the ResNet-18 + PyNADA model in the Non-linear Neurons with Human-like Apical Dendrite Activations paper on the CREMA-D dataset? | Accuracy |
What metrics were used to measure the GRU model in the Visually Guided Self Supervised Learning of Speech Representations paper on the CREMA-D dataset? | Accuracy |
What metrics were used to measure the Dusha baseline model in the Large Raw Emotional Dataset with Aggregation Mechanism paper on the Dusha Crowd dataset? | Macro F1, UA, WA |
What metrics were used to measure the CNN (1D) model in the Emotion Recognition In Persian Speech Using Deep Neural Networks paper on the ShEMO dataset? | Unweighted Accuracy |
What metrics were used to measure the w2v2-L-robust-12 model in the Dawn of the transformer era in speech emotion recognition: closing the valence gap paper on the MSP-Podcast (Dominance) dataset? | CCC |
What metrics were used to measure the preCPC model in the Contrastive Unsupervised Learning for Speech Emotion Recognition paper on the MSP-Podcast (Dominance) dataset? | CCC |
What metrics were used to measure the VGG-optiVMD model in the An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance paper on the EMODB dataset? | 1:1 Accuracy |
What metrics were used to measure the MedDeblur model in the MedDeblur: Medical Image Deblurring with Residual Dense Spatial-Asymmetric Attention paper on the ChexPert dataset? | Average PSNR |
What metrics were used to measure the MedDeblur model in the MedDeblur: Medical Image Deblurring with Residual Dense Spatial-Asymmetric Attention paper on the COVID-19 CT Scan dataset? | Average PSNR |
What metrics were used to measure the MedDeblur model in the MedDeblur: Medical Image Deblurring with Residual Dense Spatial-Asymmetric Attention paper on the Human Protein Atlas Image dataset? | Average PSNR |
What metrics were used to measure the MedDeblur model in the MedDeblur: Medical Image Deblurring with Residual Dense Spatial-Asymmetric Attention paper on the Brain MRI segmentation dataset? | Average PSNR |
What metrics were used to measure the SGAligner model in the SGAligner : 3D Scene Alignment with Scene Graphs paper on the 3DSSG dataset? | MRR |
What metrics were used to measure the CRF-visual model in the Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertations paper on the ETD500 dataset? | F1 (%) |
What metrics were used to measure the LayoutLMv2LARGE (Excluding OCR mismatch) model in the LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding paper on the SROIE dataset? | F1 |
What metrics were used to measure the LayoutLMv2LARGE model in the LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding paper on the SROIE dataset? | F1 |
What metrics were used to measure the LayoutLMv2BASE model in the LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding paper on the SROIE dataset? | F1 |
What metrics were used to measure the LayoutLMv3 model in the LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking paper on the EPHOIE dataset? | Average F1 |
What metrics were used to measure the GeoLayoutLM model in the GeoLayoutLM: Geometric Pre-training for Visual Information Extraction paper on the CORD dataset? | F1 |
What metrics were used to measure the LayoutLMv3 Large model in the LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking paper on the CORD dataset? | F1 |
What metrics were used to measure the LILT model in the LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding paper on the CORD dataset? | F1 |
What metrics were used to measure the LayoutLMv2LARGE model in the LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding paper on the CORD dataset? | F1 |
What metrics were used to measure the LayoutLMv2BASE model in the LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding paper on the CORD dataset? | F1 |
What metrics were used to measure the DAN model in the SIMARA: a database for key-value information extraction from full pages paper on the SIMARA dataset? | F1 (%) |
What metrics were used to measure the LayoutLMv2LARGE model in the LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding paper on the Kleister NDA dataset? | F1 |
What metrics were used to measure the LayoutLMv2BASE model in the LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding paper on the Kleister NDA dataset? | F1 |
What metrics were used to measure the LAMBERT (75M) model in the LAMBERT: Layout-Aware (Language) Modeling for information extraction paper on the Kleister NDA dataset? | F1 |
What metrics were used to measure the MAXIM model in the MAXIM: Multi-Axis MLP for Image Processing paper on the MIT-Adobe 5k dataset? | PSNR, SSIM |
What metrics were used to measure the Retinexformer model in the Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement paper on the MIT-Adobe 5k dataset? | PSNR, SSIM |
What metrics were used to measure the DIFAR
(MSCA, level 1) model in the CURL: Neural Curve Layers for Global Image Enhancement paper on the MIT-Adobe 5k dataset? | PSNR, SSIM |
What metrics were used to measure the LPTN (L=3) model in the High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network paper on the MIT-Adobe 5k dataset? | PSNR, SSIM |
What metrics were used to measure the LPTN (L=3) model in the High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network paper on the MIT-Adobe 5k (480p) dataset? | PSNR, SSIM |
What metrics were used to measure the DPE model in the High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network paper on the MIT-Adobe 5k (480p) dataset? | PSNR, SSIM |
What metrics were used to measure the LPTN (L=3) model in the High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network paper on the MIT-Adobe 5k (1080p) dataset? | PSNR, SSIM |
What metrics were used to measure the DPE model in the High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network paper on the MIT-Adobe 5k (1080p) dataset? | PSNR, SSIM |
What metrics were used to measure the DyMN-L model in the Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models paper on the OpenMIC-2018 dataset? | mean average precision |
What metrics were used to measure the PaSST model in the Efficient Training of Audio Transformers with Patchout paper on the OpenMIC-2018 dataset? | mean average precision |
What metrics were used to measure the SVM model in the Predominant Musical Instrument Classification based on Spectral Features paper on the IRMAS dataset? | F1-score, Precision, Recall |
What metrics were used to measure the PerSAM-F model in the Personalize Segment Anything Model with One Shot paper on the PerSeg dataset? | mIoU |
What metrics were used to measure the PerSAM model in the Personalize Segment Anything Model with One Shot paper on the PerSeg dataset? | mIoU |
What metrics were used to measure the SEEM model in the Segment Everything Everywhere All at Once paper on the PerSeg dataset? | mIoU |
What metrics were used to measure the Visual Prompting model in the Visual Prompting via Image Inpainting paper on the PerSeg dataset? | mIoU |
What metrics were used to measure the Painter model in the Images Speak in Images: A Generalist Painter for In-Context Visual Learning paper on the PerSeg dataset? | mIoU |
What metrics were used to measure the DPE model in the Deep Perceptual Enhancement for Medical Image Analysis paper on the Brain Tumor MRI Dataset dataset? | Average PSNR |
What metrics were used to measure the DPE model in the Deep Perceptual Enhancement for Medical Image Analysis paper on the Human Protein Atlas Image dataset? | Average PSNR |
What metrics were used to measure the D-DFFNet model in the Depth and DOF Cues Make A Better Defocus Blur Detector paper on the EBD dataset? | MAE |
What metrics were used to measure the D-DFFNet model in the Depth and DOF Cues Make A Better Defocus Blur Detector paper on the CUHK dataset? | MAE |
What metrics were used to measure the D-DFFNet model in the Depth and DOF Cues Make A Better Defocus Blur Detector paper on the CTCUG dataset? | IoU, MAE |
What metrics were used to measure the DED model in the DED: Diagnostic Evidence Distillation for acne severity grading on face images paper on the ACNE04 dataset? | Accuracy |
What metrics were used to measure the PKGF model in the Acne Severity Grading on Face Images via Extraction and Guidance of Prior Knowledge paper on the ACNE04 dataset? | Accuracy |
What metrics were used to measure the SFNet model in the An Acne Grading Framework on Face Images via Skin Attention and SFNet paper on the ACNE04 dataset? | Accuracy |
What metrics were used to measure the KIEGLFN model in the KIEGLFN: A unified acne grading framework on face images paper on the ACNE04 dataset? | Accuracy |
What metrics were used to measure the JAGC model in the Joint Acne Image Grading and Counting via Label Distribution Learning paper on the ACNE04 dataset? | Accuracy |
What metrics were used to measure the Model soups (BASIC-L) model in the Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the Model soups (ViT-G/14) model in the Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the CAR-FT (CLIP, ViT-L/14@336px) model in the Context-Aware Robust Fine-Tuning paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the FAN-Hybrid-L(IN-21K, 384)) model in the Understanding The Robustness in Vision Transformers paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the LLE (ViT-B/16, SWAG, Edge Aug) model in the A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the ConvNeXt-XL (Im21k, 384) model in the A ConvNet for the 2020s paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the LLE (ViT-H/14, MAE, Edge Aug) model in the A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the MAE (ViT-H, 448) model in the Masked Autoencoders Are Scalable Vision Learners paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the MAE+DAT (ViT-H) model in the Enhance the Visual Representation via Discrete Adversarial Training paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the GPaCo (ViT-L) model in the Generalized Parametric Contrastive Learning paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the VOLO-D5+HAT model in the Improving Vision Transformers by Revisiting High-frequency Components paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the Pyramid Adversarial Training Improves ViT (Im21k) model in the Pyramid Adversarial Training Improves ViT Performance paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the FAN-L-Hybrid+STL model in the Fully Attentional Networks with Self-emerging Token Labeling paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the SEER (RegNet10B) model in the Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the DiscreteViT model in the Discrete Representations Strengthen Vision Transformer Robustness paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the Pyramid Adversarial Training Improves ViT model in the Pyramid Adversarial Training Improves ViT Performance paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the RVT-B* model in the Towards Robust Vision Transformer paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the Sequencer2D-L model in the Sequencer: Deep LSTM for Image Classification paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the RVT-S* model in the Towards Robust Vision Transformer paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the DeepAugment+AugMix (ResNet-50) model in the The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the PRIME with JSD (ResNet-50) model in the PRIME: A few primitives can boost robustness to common corruptions paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the RVT-Ti* model in the Towards Robust Vision Transformer paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the PRIME (ResNet-50) model in the PRIME: A few primitives can boost robustness to common corruptions paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the DeepAugment (ResNet-50) model in the The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the Stylized ImageNet (ResNet-50) model in the ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the AugMix (ResNet-50) model in the AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty paper on the ImageNet-R dataset? | Top-1 Error Rate |
What metrics were used to measure the ResNet-50 model in the Deep Residual Learning for Image Recognition paper on the ImageNet-R dataset? | Top-1 Error Rate |
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-R dataset? | Top-1 Error Rate |
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-R dataset? | Top-1 Error Rate |
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-R dataset? | Top-1 Error Rate |
What metrics were used to measure the SIMPLE+ model in the SIMPLE: Specialized Model-Sample Matching for Domain Generalization paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the PromptStyler (CLIP, ViT-L/14) model in the PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the PromptStyler (CLIP, ViT-B/16) model in the PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the MIRO (RegNetY-16GF, SWAD) model in the Domain Generalization by Mutual-Information Regularization with Pre-trained Models paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the CAR-FT (CLIP, ViT-B/16) model in the Context-Aware Robust Fine-Tuning paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the SEDGE+ model in the Domain Generalization using Pretrained Models without Fine-tuning paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the Ensemble of Averages (RegNetY-16GF) model in the Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the CADG model in the CADG: A Model Based on Cross Attention for Domain Generalization paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the Ensemble of Averages (ResNeXt-50 32x4d) model in the Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the PromptStyler (CLIP, ResNet-50) model in the PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the Model Ratatouille model in the Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the RISE (ResNet-50) model in the A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the AdaClust (ResNet-50, SWAD) model in the Adaptive Methods for Aggregated Domain Generalization paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the PCL (ResNet50, SWAD) model in the PCL: Proxy-Based Contrastive Learning for Domain Generalization paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the LRDG (ResNet-50) model in the Domain Generalization by Learning and Removing Domain-specific Features paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the Ensemble of Averages (ResNet-50) model in the Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization paper on the PACS dataset? | Average Accuracy, Average |
What metrics were used to measure the BatchFormer(ResNet-50, SWAD) model in the BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning paper on the PACS dataset? | Average Accuracy, Average |
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