prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the MMDL model in the Piano Skills Assessment paper on the Multimodal PISA dataset? | Accuracy (%) |
What metrics were used to measure the SVM model in the Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset paper on the eSports Sensors Dataset dataset? | Accuracy, LogLoss, ROC AUC |
What metrics were used to measure the Logistic Regression model in the Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset paper on the eSports Sensors Dataset dataset? | Accuracy, LogLoss, ROC AUC |
What metrics were used to measure the Random Forest model in the Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset paper on the eSports Sensors Dataset dataset? | Accuracy, LogLoss, ROC AUC |
What metrics were used to measure the KNN model in the Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset paper on the eSports Sensors Dataset dataset? | Accuracy, LogLoss, ROC AUC |
What metrics were used to measure the Random Guess model in the Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset paper on the eSports Sensors Dataset dataset? | Accuracy, LogLoss, ROC AUC |
What metrics were used to measure the CodeTrans-TF-Large model in the CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing paper on the DeepCom dataset? | Smoothed BLEU-4 |
What metrics were used to measure the GMM model in the Weakly and Partially Supervised Learning Frameworks for Anomaly Detection paper on the UBI-Fights dataset? | AUC, Decidability, EER |
What metrics were used to measure the Sultani et al. model in the Real-world Anomaly Detection in Surveillance Videos paper on the UBI-Fights dataset? | AUC, Decidability, EER |
What metrics were used to measure the s2-VAE model in the Generative Neural Networks for Anomaly Detection in Crowded Scenes paper on the UBI-Fights dataset? | AUC, Decidability, EER |
What metrics were used to measure the LSTM-VAE model in the Abnormal Event Detection in Videos using Spatiotemporal Autoencoder paper on the UBI-Fights dataset? | AUC, Decidability, EER |
What metrics were used to measure the Adversarial Generator model in the Abnormal Event Detection in Videos using Generative Adversarial Nets paper on the UBI-Fights dataset? | AUC, Decidability, EER |
What metrics were used to measure the Hasan et al. model in the Learning Temporal Regularity in Video Sequences paper on the UBI-Fights dataset? | AUC, Decidability, EER |
What metrics were used to measure the AI-VAD model in the Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection paper on the UCSD Ped2 dataset? | AUC |
What metrics were used to measure the Background-Agnostic Framework model in the A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video paper on the UCSD Ped2 dataset? | AUC |
What metrics were used to measure the SSMTL model in the Anomaly Detection in Video via Self-Supervised and Multi-Task Learning paper on the UCSD Ped2 dataset? | AUC |
What metrics were used to measure the Adversarial Generator model in the Abnormal Event Detection in Videos using Generative Adversarial Nets paper on the UCSD Ped2 dataset? | AUC |
What metrics were used to measure the Dual-Channel mBERT model in the Hope Speech detection in under-resourced Kannada language paper on the KanHope dataset? | F1-score (Weighted) |
What metrics were used to measure the RoBERTa model in the TeamUNCC@LT-EDI-EACL2021: Hope Speech Detection using Transfer Learning with Transformers paper on the HopeEDI dataset? | Weighted Average F1-score |
What metrics were used to measure the Decision Tree Classifier model in the HopeEDI: A Multilingual Hope Speech Detection Dataset for Equality, Diversity, and Inclusion paper on the HopeEDI dataset? | Weighted Average F1-score |
What metrics were used to measure the GraphVQA model in the GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering paper on the GQA dataset? | Accuracy |
What metrics were used to measure the GCN model in the paper on the GQA dataset? | Accuracy |
What metrics were used to measure the baller2vec++ model in the baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents paper on the NBA SportVU dataset? | 1x1 NLL |
What metrics were used to measure the RSRAE model in the Robust Subspace Recovery Layer for Unsupervised Anomaly Detection paper on the Caltech-101 dataset? | AUC (outlier ratio = 0.5) |
What metrics were used to measure the P-CAE W-MSE (Tilted View) model in the Unsupervised Anomaly Detection from Time-of-Flight Depth Images paper on the TIMo dataset? | AUROC |
What metrics were used to measure the ACR-NTL (zero-shot, test anomaly ratio=1%) model in the Zero-Shot Anomaly Detection via Batch Normalization paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the ACR-DSVDD (zero-shot, anomaly ratio=1%) model in the Zero-Shot Anomaly Detection via Batch Normalization paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the ACR-NTL (zero-shot, test anomaly ratio=20%) model in the Zero-Shot Anomaly Detection via Batch Normalization paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the ACR-DSVDD (zero-shot, anomaly ratio=20%) model in the Zero-Shot Anomaly Detection via Batch Normalization paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the COPOD model in the AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the OC-SVM model in the AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the SO-GAAL model in the AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the ECOD Li et al. (2022) model in the AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the LOF model in the AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the deepSVDD model in the AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the LUNAR model in the AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the BERT model in the AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the IsoForest model in the AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the Internal Contrastive Learning model in the AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the AE for anomalies model in the AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection paper on the AnoShift dataset? | ROC-AUC FAR, ROC-AUC IID, ROC-AUC NEAR, ROC-AUC-ID (In-Distribution setup) |
What metrics were used to measure the RSRAE model in the Robust Subspace Recovery Layer for Unsupervised Anomaly Detection paper on the 20NEWS dataset? | AUC (outlier ratio = 0.5) |
What metrics were used to measure the RSRAE model in the Robust Subspace Recovery Layer for Unsupervised Anomaly Detection paper on the Reuters-21578 dataset? | AUC (outlier ratio = 0.5) |
What metrics were used to measure the LVAD model in the Locally varying distance transform for unsupervised visual anomaly detection paper on the MNIST dataset? | AUROC |
What metrics were used to measure the VRAE+SVM model in the Learning Representations from Healthcare Time Series Data for Unsupervised Anomaly Detection paper on the ECG5000 dataset? | AUC |
What metrics were used to measure the LVAD model in the Locally varying distance transform for unsupervised visual anomaly detection paper on the STL-10 dataset? | AUC-ROC |
What metrics were used to measure the SemiREST-Un model in the Efficient Anomaly Detection with Budget Annotation Using Semi-Supervised Residual Transformer paper on the KolektorSDD2 dataset? | Segmentation AP, Segmentation AUROC, Detection AP, Segmentation AUPRO |
What metrics were used to measure the DSR model in the DSR -- A dual subspace re-projection network for surface anomaly detection paper on the KolektorSDD2 dataset? | Segmentation AP, Segmentation AUROC, Detection AP, Segmentation AUPRO |
What metrics were used to measure the Semi-orthogonal model in the Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation paper on the KolektorSDD2 dataset? | Segmentation AP, Segmentation AUROC, Detection AP, Segmentation AUPRO |
What metrics were used to measure the Semi-orthogonal model in the Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation paper on the KolektorSDD dataset? | Segmentation AUROC |
What metrics were used to measure the SOM model in the Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings paper on the Vehicle Claims dataset? | AUC |
What metrics were used to measure the Isolation Forest model in the Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings paper on the Vehicle Claims dataset? | AUC |
What metrics were used to measure the Latent Outlier Exposure model in the Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings paper on the Vehicle Claims dataset? | AUC |
What metrics were used to measure the NeuTraL-AD model in the Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings paper on the Vehicle Claims dataset? | AUC |
What metrics were used to measure the RSRAE model in the Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings paper on the Vehicle Claims dataset? | AUC |
What metrics were used to measure the SOM-DAGMM model in the Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings paper on the Vehicle Claims dataset? | AUC |
What metrics were used to measure the Local Outlier Factor model in the Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings paper on the Vehicle Claims dataset? | AUC |
What metrics were used to measure the One Class Support Vector Machines model in the Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings paper on the Vehicle Claims dataset? | AUC |
What metrics were used to measure the DAGMM model in the Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings paper on the Vehicle Claims dataset? | AUC |
What metrics were used to measure the RSRAE model in the Robust Subspace Recovery Layer for Unsupervised Anomaly Detection paper on the Fashion-MNIST dataset? | AUC (outlier ratio = 0.5) |
What metrics were used to measure the DiffusionAD model in the DiffusionAD: Denoising Diffusion for Anomaly Detection paper on the DAGM2007 dataset? | Detection AUROC |
What metrics were used to measure the RD4AD model in the Anomaly Detection via Reverse Distillation from One-Class Embedding paper on the DAGM2007 dataset? | Detection AUROC |
What metrics were used to measure the CFA model in the CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization paper on the DAGM2007 dataset? | Detection AUROC |
What metrics were used to measure the PaDiM model in the PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization paper on the DAGM2007 dataset? | Detection AUROC |
What metrics were used to measure the DRAEM model in the DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection paper on the DAGM2007 dataset? | Detection AUROC |
What metrics were used to measure the FastFlow model in the FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows paper on the DAGM2007 dataset? | Detection AUROC |
What metrics were used to measure the CutPaste model in the CutPaste: Self-Supervised Learning for Anomaly Detection and Localization paper on the DAGM2007 dataset? | Detection AUROC |
What metrics were used to measure the CS-Flow model in the Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection paper on the DAGM2007 dataset? | Detection AUROC |
What metrics were used to measure the SPADE model in the Sub-Image Anomaly Detection with Deep Pyramid Correspondences paper on the DAGM2007 dataset? | Detection AUROC |
What metrics were used to measure the GDHF model in the Geodesic Distance Histogram Feature for Video Segmentation paper on the SegTrack v2 dataset? | Accuracy |
What metrics were used to measure the AltCLIP model in the AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities paper on the CN-ImageNet-Sketch dataset? | Accuracy (Private) |
What metrics were used to measure the BASIC (Lion) model in the Symbolic Discovery of Optimization Algorithms paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the CoCa model in the CoCa: Contrastive Captioners are Image-Text Foundation Models paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the LiT-22B model in the Scaling Vision Transformers to 22 Billion Parameters paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the BASIC model in the Combined Scaling for Zero-shot Transfer Learning paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the LiT ViT-e model in the PaLI: A Jointly-Scaled Multilingual Language-Image Model paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the LiT-tuning model in the LiT: Zero-Shot Transfer with Locked-image text Tuning paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the Florence-CoSwin-H (@384pix) model in the Florence: A New Foundation Model for Computer Vision paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the MAWS (ViT-2B) model in the The effectiveness of MAE pre-pretraining for billion-scale pretraining paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the EVA-CLIP-E/14+ model in the EVA-CLIP: Improved Training Techniques for CLIP at Scale paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the CLIPA (ViT-H/14-336px) model in the An Inverse Scaling Law for CLIP Training paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the MAWS (ViT-H) model in the The effectiveness of MAE pre-pretraining for billion-scale pretraining paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the REACT model in the Learning Customized Visual Models with Retrieval-Augmented Knowledge paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the ALIGN model in the Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the CLIP（ViT-L/14-336px） model in the Learning Transferable Visual Models From Natural Language Supervision paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the AltCLIP model in the AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the PaLI model in the PaLI: A Jointly-Scaled Multilingual Language-Image Model paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the Diffusion Classifier (zero-shot) model in the Your Diffusion Model is Secretly a Zero-Shot Classifier paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the CLIP (ResNet50) model in the Learning Transferable Visual Models From Natural Language Supervision paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the CWCL model in the CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the CLIP model in the Learning Transferable Visual Models From Natural Language Supervision paper on the ImageNet dataset? | Accuracy (Private), Accuracy (Public) |
What metrics were used to measure the AltCLIP model in the AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities paper on the CN-ImageNet dataset? | Accuracy (Private) |
What metrics were used to measure the CoCa model in the CoCa: Contrastive Captioners are Image-Text Foundation Models paper on the ImageNet-A dataset? | Accuracy (Private), Accuracy (Public), Top 5 Accuracy |
What metrics were used to measure the LiT-22B model in the Scaling Vision Transformers to 22 Billion Parameters paper on the ImageNet-A dataset? | Accuracy (Private), Accuracy (Public), Top 5 Accuracy |
What metrics were used to measure the LiT ViT-e model in the PaLI: A Jointly-Scaled Multilingual Language-Image Model paper on the ImageNet-A dataset? | Accuracy (Private), Accuracy (Public), Top 5 Accuracy |
What metrics were used to measure the BASIC (Lion) model in the Symbolic Discovery of Optimization Algorithms paper on the ImageNet-A dataset? | Accuracy (Private), Accuracy (Public), Top 5 Accuracy |
What metrics were used to measure the BASIC model in the Combined Scaling for Zero-shot Transfer Learning paper on the ImageNet-A dataset? | Accuracy (Private), Accuracy (Public), Top 5 Accuracy |
What metrics were used to measure the EVA-CLIP-E/14+ model in the EVA-CLIP: Improved Training Techniques for CLIP at Scale paper on the ImageNet-A dataset? | Accuracy (Private), Accuracy (Public), Top 5 Accuracy |
What metrics were used to measure the LiT-tuning model in the LiT: Zero-Shot Transfer with Locked-image text Tuning paper on the ImageNet-A dataset? | Accuracy (Private), Accuracy (Public), Top 5 Accuracy |
What metrics were used to measure the CLIP model in the Learning Transferable Visual Models From Natural Language Supervision paper on the ImageNet-A dataset? | Accuracy (Private), Accuracy (Public), Top 5 Accuracy |
What metrics were used to measure the ALIGN model in the Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision paper on the ImageNet-A dataset? | Accuracy (Private), Accuracy (Public), Top 5 Accuracy |
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