prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the DMCT Stack model in the Real-time 3D Deep Multi-Camera Tracking paper on the Wildtrack dataset? | IDF1, MOTA |
What metrics were used to measure the DMCT model in the Real-time 3D Deep Multi-Camera Tracking paper on the Wildtrack dataset? | IDF1, MOTA |
What metrics were used to measure the GLMB-YOLOv3 model in the A Bayesian Filter for Multi-view 3D Multi-object Tracking with Occlusion Handling paper on the Wildtrack dataset? | IDF1, MOTA |
What metrics were used to measure the GLMB-DO model in the A Bayesian Filter for Multi-view 3D Multi-object Tracking with Occlusion Handling paper on the Wildtrack dataset? | IDF1, MOTA |
What metrics were used to measure the FairMOT model in the FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking paper on the 2DMOT15 dataset? | MOTA, IDF1 |
What metrics were used to measure the STGT model in the TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking paper on the 2DMOT15 dataset? | MOTA, IDF1 |
What metrics were used to measure the Tracktor++ model in the SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water paper on the SeaDronesSee dataset? | MOTA |
What metrics were used to measure the FairMOT D34 model in the SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water paper on the SeaDronesSee dataset? | MOTA |
What metrics were used to measure the FairMOT R34 model in the SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water paper on the SeaDronesSee dataset? | MOTA |
What metrics were used to measure the ReMOTS model in the ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation paper on the MOTS20 dataset? | sMOTSA, IDF1, IDs |
What metrics were used to measure the UniTrack model in the Do Different Tracking Tasks Require Different Appearance Models? paper on the MOTS20 dataset? | sMOTSA, IDF1, IDs |
What metrics were used to measure the Unicorn model in the Towards Grand Unification of Object Tracking paper on the MOTS20 dataset? | sMOTSA, IDF1, IDs |
What metrics were used to measure the TrackFormer model in the TrackFormer: Multi-Object Tracking with Transformers paper on the MOTS20 dataset? | sMOTSA, IDF1, IDs |
What metrics were used to measure the TraDes model in the Track to Detect and Segment: An Online Multi-Object Tracker paper on the MOTS20 dataset? | sMOTSA, IDF1, IDs |
What metrics were used to measure the Track R-CNN model in the MOTS: Multi-Object Tracking and Segmentation paper on the MOTS20 dataset? | sMOTSA, IDF1, IDs |
What metrics were used to measure the Deep-EIoU model in the Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the MixSort-OC model in the SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the OC-SORT model in the Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the TransTrack model in the TransTrack: Multiple Object Tracking with Transformer paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the MeMOTR (Deformable-DETR) model in the MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the MixSort-Byte model in the SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the ByteTrack model in the ByteTrack: Multi-Object Tracking by Associating Every Detection Box paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the CenterTrack model in the Tracking Objects as Points paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the QDTrack model in the Quasi-Dense Similarity Learning for Multiple Object Tracking paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the GTR model in the Global Tracking Transformers paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the FairMOT model in the FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the GP-Sig model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the WalkvsRun dataset? | Accuracy, NLL |
What metrics were used to measure the GP-GRU model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the WalkvsRun dataset? | Accuracy, NLL |
What metrics were used to measure the GP-Sig-LSTM model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the WalkvsRun dataset? | Accuracy, NLL |
What metrics were used to measure the GP-Sig-GRU model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the WalkvsRun dataset? | Accuracy, NLL |
What metrics were used to measure the GP-LSTM model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the WalkvsRun dataset? | Accuracy, NLL |
What metrics were used to measure the GP-KConv1D model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the WalkvsRun dataset? | Accuracy, NLL |
What metrics were used to measure the MALSTM-FCN model in the Multivariate LSTM-FCNs for Time Series Classification paper on the WalkvsRun dataset? | Accuracy, NLL |
What metrics were used to measure the FCN-SNLST model in the Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections paper on the WalkvsRun dataset? | Accuracy, NLL |
What metrics were used to measure the SNLST model in the Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections paper on the WalkvsRun dataset? | Accuracy, NLL |
What metrics were used to measure the MALSTM-FCN model in the Multivariate LSTM-FCNs for Time Series Classification paper on the LP1 dataset? | Accuracy |
What metrics were used to measure the GP-Sig model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the SHAPES dataset? | Accuracy, NLL |
What metrics were used to measure the GP-Sig-GRU model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the SHAPES dataset? | Accuracy, NLL |
What metrics were used to measure the GP-KConv1D model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the SHAPES dataset? | Accuracy, NLL |
What metrics were used to measure the GP-Sig-LSTM model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the SHAPES dataset? | Accuracy, NLL |
What metrics were used to measure the GP-LSTM model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the SHAPES dataset? | Accuracy, NLL |
What metrics were used to measure the MALSTM-FCN model in the Multivariate LSTM-FCNs for Time Series Classification paper on the SHAPES dataset? | Accuracy, NLL |
What metrics were used to measure the SNLST model in the Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections paper on the SHAPES dataset? | Accuracy, NLL |
What metrics were used to measure the FCN-SNLST model in the Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections paper on the SHAPES dataset? | Accuracy, NLL |
What metrics were used to measure the GP-GRU model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the SHAPES dataset? | Accuracy, NLL |
What metrics were used to measure the R_DST_Ensemble model in the Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets paper on the ArrowHead dataset? | Accuracy(30-fold) |
What metrics were used to measure the MALSTM-FCN model in the Multivariate LSTM-FCNs for Time Series Classification paper on the UWave dataset? | Accuracy, NLL |
What metrics were used to measure the GP-Sig-LSTM model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the UWave dataset? | Accuracy, NLL |
What metrics were used to measure the FCN-SNLST model in the Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections paper on the UWave dataset? | Accuracy, NLL |
What metrics were used to measure the GP-Sig-GRU model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the UWave dataset? | Accuracy, NLL |
What metrics were used to measure the GP-Sig model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the UWave dataset? | Accuracy, NLL |
What metrics were used to measure the GP-KConv1D model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the UWave dataset? | Accuracy, NLL |
What metrics were used to measure the SNLST model in the Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections paper on the UWave dataset? | Accuracy, NLL |
What metrics were used to measure the GP-LSTM model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the UWave dataset? | Accuracy, NLL |
What metrics were used to measure the GP-GRU model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the UWave dataset? | Accuracy, NLL |
What metrics were used to measure the TKAE model in the Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders paper on the Physionet 2017 Atrial Fibrillation dataset? | AUC, F1 (Hidden Test Set) |
What metrics were used to measure the ENCASE model in the ENCASE: An ENsemble ClASsifiEr for ECG classification using expert features and deep neural networks paper on the Physionet 2017 Atrial Fibrillation dataset? | AUC, F1 (Hidden Test Set) |
What metrics were used to measure the MALSTM-FCN model in the Multivariate LSTM-FCNs for Time Series Classification paper on the KickvsPunch dataset? | Accuracy, NLL |
What metrics were used to measure the SNLST model in the Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections paper on the KickvsPunch dataset? | Accuracy, NLL |
What metrics were used to measure the FCN-SNLST model in the Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections paper on the KickvsPunch dataset? | Accuracy, NLL |
What metrics were used to measure the GP-Sig model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the KickvsPunch dataset? | Accuracy, NLL |
What metrics were used to measure the GP-Sig-LSTM model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the KickvsPunch dataset? | Accuracy, NLL |
What metrics were used to measure the GP-Sig-GRU model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the KickvsPunch dataset? | Accuracy, NLL |
What metrics were used to measure the GP-KConv1D model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the KickvsPunch dataset? | Accuracy, NLL |
What metrics were used to measure the GP-LSTM model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the KickvsPunch dataset? | Accuracy, NLL |
What metrics were used to measure the GP-GRU model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the KickvsPunch dataset? | Accuracy, NLL |
What metrics were used to measure the V2Sa model in the Voice2Series: Reprogramming Acoustic Models for Time Series Classification paper on the FordA dataset? | Acc. (test), F1 score, mean average precision |
What metrics were used to measure the 1D Convolution Neural Network model in the Deep learning for time series classification paper on the FordA dataset? | Acc. (test), F1 score, mean average precision |
What metrics were used to measure the FCN-SNLST model in the Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections paper on the AUSLAN dataset? | Accuracy, NLL |
What metrics were used to measure the GP-Sig-LSTM model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the AUSLAN dataset? | Accuracy, NLL |
What metrics were used to measure the GP-Sig-GRU model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the AUSLAN dataset? | Accuracy, NLL |
What metrics were used to measure the SNLST model in the Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections paper on the AUSLAN dataset? | Accuracy, NLL |
What metrics were used to measure the MALSTM-FCN model in the Multivariate LSTM-FCNs for Time Series Classification paper on the AUSLAN dataset? | Accuracy, NLL |
What metrics were used to measure the GP-GRU model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the AUSLAN dataset? | Accuracy, NLL |
What metrics were used to measure the GP-Sig model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the AUSLAN dataset? | Accuracy, NLL |
What metrics were used to measure the GP-LSTM model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the AUSLAN dataset? | Accuracy, NLL |
What metrics were used to measure the GP-KConv1D model in the Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances paper on the AUSLAN dataset? | Accuracy, NLL |
What metrics were used to measure the Disjoint-CNN model in the Disjoint-CNN for Multivariate Time Series Classification paper on the pendigits dataset? | Accuracy |
What metrics were used to measure the ConvTran model in the Improving Position Encoding of Transformers for Multivariate Time Series Classification paper on the pendigits dataset? | Accuracy |
What metrics were used to measure the MALSTM-FCN model in the Multivariate LSTM-FCNs for Time Series Classification paper on the pendigits dataset? | Accuracy |
What metrics were used to measure the GRU-D model in the Set Functions for Time Series paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the IP-NETS model in the Interpolation-Prediction Networks for Irregularly Sampled Time Series paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the Transformer model in the Set Functions for Time Series paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the IP-Nets model in the Set Functions for Time Series paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the mTAND-Full model in the Multi-Time Attention Networks for Irregularly Sampled Time Series paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the mTAND-Enc model in the Multi-Time Attention Networks for Irregularly Sampled Time Series paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the SeFT-Attn model in the Set Functions for Time Series paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the GRU-D model in the Recurrent Neural Networks for Multivariate Time Series with Missing Values paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the STraTS model in the Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the ODE-RNN model in the Latent ODEs for Irregularly-Sampled Time Series paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the Latent ODE (ODE enc model in the Latent ODEs for Irregularly-Sampled Time Series paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the Latent ODE + Poisson model in the Latent ODEs for Irregularly-Sampled Time Series paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the GRU-Simple model in the Set Functions for Time Series paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the Phased-LSTM model in the Set Functions for Time Series paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the RNN ∆t model in the paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the GRU-D - APC (n = 1) model in the As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the GRU-Simple model in the As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the GRU-D [12] model in the As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the GRU-APC (n = 1) model in the As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
What metrics were used to measure the GRU-D - APC (n = 0) model in the As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning paper on the PhysioNet Challenge 2012 dataset? | AUC, AUC Stdev, AUPRC, AUROC |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.