prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the VRT model in the VRT: A Video Restoration Transformer paper on the REDS dataset? | Average PSNR |
What metrics were used to measure the EDVR_Deblur model in the EDVR: Video Restoration with Enhanced Deformable Convolutional Networks paper on the REDS dataset? | Average PSNR |
What metrics were used to measure the DeblurGAN model in the DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks paper on the REDS dataset? | Average PSNR |
What metrics were used to measure the MAXIM model in the MAXIM: Multi-Axis MLP for Image Processing paper on the RealBlur-J dataset? | PSNR (sRGB), SSIM (sRGB), Params(M) |
What metrics were used to measure the Stripformer model in the Stripformer: Strip Transformer for Fast Image Deblurring paper on the RealBlur-J dataset? | PSNR (sRGB), SSIM (sRGB), Params(M) |
What metrics were used to measure the DeepRFT+ model in the Intriguing Findings of Frequency Selection for Image Deblurring paper on the RealBlur-J dataset? | PSNR (sRGB), SSIM (sRGB), Params(M) |
What metrics were used to measure the MSSNet model in the MSSNet: Multi-Scale-Stage Network for Single Image Deblurring paper on the RealBlur-J dataset? | PSNR (sRGB), SSIM (sRGB), Params(M) |
What metrics were used to measure the MIMO-UNet++ model in the Rethinking Coarse-to-Fine Approach in Single Image Deblurring paper on the RealBlur-J dataset? | PSNR (sRGB), SSIM (sRGB), Params(M) |
What metrics were used to measure the BANet model in the BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring paper on the RealBlur-J dataset? | PSNR (sRGB), SSIM (sRGB), Params(M) |
What metrics were used to measure the MPRNet model in the Multi-Stage Progressive Image Restoration paper on the RealBlur-J dataset? | PSNR (sRGB), SSIM (sRGB), Params(M) |
What metrics were used to measure the SRN model in the Scale-recurrent Network for Deep Image Deblurring paper on the RealBlur-J dataset? | PSNR (sRGB), SSIM (sRGB), Params(M) |
What metrics were used to measure the DeblurGAN-v2 model in the DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better paper on the RealBlur-J dataset? | PSNR (sRGB), SSIM (sRGB), Params(M) |
What metrics were used to measure the MAXIM model in the MAXIM: Multi-Axis MLP for Image Processing paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the Restormer-TLC model in the Improving Image Restoration by Revisiting Global Information Aggregation paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the DeepRFT+ model in the Intriguing Findings of Frequency Selection for Image Deblurring paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the Restormer model in the Restormer: Efficient Transformer for High-Resolution Image Restoration paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the MPRNet-TLC model in the Improving Image Restoration by Revisiting Global Information Aggregation paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the Stripformer model in the Stripformer: Strip Transformer for Fast Image Deblurring paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the MPRNet model in the Multi-Stage Progressive Image Restoration paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the Uformer-B model in the Uformer: A General U-Shaped Transformer for Image Restoration paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the BANet model in the BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the Suin et al model in the paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the MT-RNN model in the Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the Gao et al model in the paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the DMPHN model in the Deep Stacked Hierarchical Multi-patch Network for Image Deblurring paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the DBGAN model in the Deblurring by Realistic Blurring paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the SRN model in the Scale-recurrent Network for Deep Image Deblurring paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the Nah et al model in the Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring paper on the HIDE (trained on GOPRO) dataset? | PSNR (sRGB), SSIM (sRGB), Params (M) |
What metrics were used to measure the RVRT model in the Recurrent Video Restoration Transformer with Guided Deformable Attention paper on the DVD dataset? | PSNR, SSIM |
What metrics were used to measure the GShift-Net model in the A Simple Baseline for Video Restoration with Grouped Spatial-temporal Shift paper on the DVD dataset? | PSNR, SSIM |
What metrics were used to measure the VRT model in the VRT: A Video Restoration Transformer paper on the DVD dataset? | PSNR, SSIM |
What metrics were used to measure the FGST model in the Flow-Guided Sparse Transformer for Video Deblurring paper on the DVD dataset? | PSNR, SSIM |
What metrics were used to measure the MB2D model in the Blur More To Deblur Better: Multi-Blur2Deblur For Efficient Video Deblurring paper on the DVD dataset? | PSNR, SSIM |
What metrics were used to measure the Uformer-B model in the Uformer: A General U-Shaped Transformer for Image Restoration paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the Restormer model in the Restormer: Efficient Transformer for High-Resolution Image Restoration paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the DeepRFT model in the Intriguing Findings of Frequency Selection for Image Deblurring paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the MPRNet model in the Multi-Stage Progressive Image Restoration paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the MSSNet model in the MSSNet: Multi-Scale-Stage Network for Single Image Deblurring paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the MAXIM model in the MAXIM: Multi-Axis MLP for Image Processing paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the Pan et al model in the Blind Image Deblurring Using Dark Channel Prior paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the Hu et al model in the Deblurring Low-light Images with Light Streaks paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the DMPHN model in the Deep Stacked Hierarchical Multi-patch Network for Image Deblurring paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the SRN model in the Scale-recurrent Network for Deep Image Deblurring paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the Zhang et al model in the Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the DeblurGAN-v2 model in the DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the Xu et al model in the Unnatural L0 Sparse Representation for Natural Image Deblurring paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the DeblurGAN model in the DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the Nah et al model in the Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring paper on the RealBlur-R (trained on GoPro) dataset? | PSNR (sRGB), SSIM (sRGB) |
What metrics were used to measure the MIMO-UNet + Realistic blur model in the Realistic Blur Synthesis for Learning Image Deblurring paper on the RSBlur (trained on synthetic) dataset? | Average PSNR |
What metrics were used to measure the SRN-Deblur + Realistic blur model in the Realistic Blur Synthesis for Learning Image Deblurring paper on the RSBlur (trained on synthetic) dataset? | Average PSNR |
What metrics were used to measure the VRT (GoPro) model in the VRT: A Video Restoration Transformer paper on the BASED dataset? | PSNR, VMAF, ERQAv2.0, LPIPS, SSIM |
What metrics were used to measure the VRT (REDS) model in the VRT: A Video Restoration Transformer paper on the BASED dataset? | PSNR, VMAF, ERQAv2.0, LPIPS, SSIM |
What metrics were used to measure the CVAE model in the Learning Structured Output Representation using Deep Conditional Generative Models paper on the MNIST dataset? | Negative CLL |
What metrics were used to measure the SpectralCows model in the Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs paper on the ApolloScape dataset? | ADE |
What metrics were used to measure the Support Vector Machines model in the Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification paper on the GPS dataset? | Accuracy |
What metrics were used to measure the Skeleton-Graph model in the Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs paper on the PROX dataset? | ADE, FDE, STB |
What metrics were used to measure the Social-NCE + Social-LSTM model in the Social NCE: Contrastive Learning of Socially-aware Motion Representations paper on the TrajNet++ dataset? | FDE, COL |
What metrics were used to measure the U-LSTM + Social Pooling model in the Asymmetrical Bi-RNN for pedestrian trajectory encoding paper on the TrajNet++ dataset? | FDE, COL |
What metrics were used to measure the Social LSTM model in the Human Trajectory Forecasting in Crowds: A Deep Learning Perspective paper on the TrajNet++ dataset? | FDE, COL |
What metrics were used to measure the ITRA model in the Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation paper on the INTERACTION Dataset - Validation dataset? | minADE6, minFDE6, minFDE1 |
What metrics were used to measure the TNT model in the TNT: Target-driveN Trajectory Prediction paper on the INTERACTION Dataset - Validation dataset? | minADE6, minFDE6, minFDE1 |
What metrics were used to measure the DESIRE model in the DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents paper on the INTERACTION Dataset - Validation dataset? | minADE6, minFDE6, minFDE1 |
What metrics were used to measure the GOHOME model in the GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation paper on the INTERACTION Dataset - Validation dataset? | minADE6, minFDE6, minFDE1 |
What metrics were used to measure the NSP-SFM model in the Human Trajectory Prediction via Neural Social Physics paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the TDOR model in the End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the V^2-Net model in the View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the Y-Net model in the From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the MemoNet model in the Remember Intentions: Retrospective-Memory-based Trajectory Prediction paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the MANTRA model in the MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the PECNet model in the It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the SimAug model in the SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the P2TIRL model in the Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the CF-VAE model in the Conditional Flow Variational Autoencoders for Structured Sequence Prediction paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the EvolveGraph model in the EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the Multiverse model in the The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the CGNS model in the Conditional Generative Neural System for Probabilistic Trajectory Prediction paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the Sophie model in the SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the DESIRE model in the DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the Social GAN model in the Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the Social LSTM model in the Social LSTM: Human Trajectory Prediction in Crowded Spaces paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the SoPhie model in the SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the TNT model in the TNT: Target-driveN Trajectory Prediction paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the Social-Implicit model in the Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the DAG-Net model in the DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the Social-Ways model in the Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs paper on the Stanford Drone dataset? | ADE-8/12 @K = 20, FDE-8/12 @K= 20, ADE (8/12) @K=5, FDE(8/12) @K=5, ADE (in world coordinates), FDE (in world coordinates), AMD, AMV, Avg AMD/AMV 8/12 |
What metrics were used to measure the SGNet model in the Stepwise Goal-Driven Networks for Trajectory Prediction paper on the PIE dataset? | MSE(0.5), MSE(1.0), MSE(1.5), C_MSE(1.5), CF_MSE(1.5) |
What metrics were used to measure the Bitrap-D model in the BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation paper on the PIE dataset? | MSE(0.5), MSE(1.0), MSE(1.5), C_MSE(1.5), CF_MSE(1.5) |
What metrics were used to measure the PIE_traj model in the PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction paper on the PIE dataset? | MSE(0.5), MSE(1.0), MSE(1.5), C_MSE(1.5), CF_MSE(1.5) |
What metrics were used to measure the FOL-X model in the Unsupervised Traffic Accident Detection in First-Person Videos paper on the PIE dataset? | MSE(0.5), MSE(1.0), MSE(1.5), C_MSE(1.5), CF_MSE(1.5) |
What metrics were used to measure the Bayesian-LSTM model in the Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty paper on the PIE dataset? | MSE(0.5), MSE(1.0), MSE(1.5), C_MSE(1.5), CF_MSE(1.5) |
What metrics were used to measure the Pishgu model in the Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems paper on the ActEV dataset? | ADE-8/12, FDE-8/12 |
What metrics were used to measure the SimAug model in the SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen Cameras paper on the ActEV dataset? | ADE-8/12, FDE-8/12 |
What metrics were used to measure the Next model in the Peeking into the Future: Predicting Future Person Activities and Locations in Videos paper on the ActEV dataset? | ADE-8/12, FDE-8/12 |
What metrics were used to measure the Multiverse model in the The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction paper on the ActEV dataset? | ADE-8/12, FDE-8/12 |
What metrics were used to measure the TraPHic model in the TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions paper on the TRAF dataset? | RMSE |
What metrics were used to measure the DAG-Net model in the DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting paper on the STATS SportVu NBA [DEF] dataset? | ADE, FDE |
What metrics were used to measure the Social Ways model in the Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs paper on the Hotel BIWI Walking Pedestrians dataset dataset? | ADE-8/12 |
What metrics were used to measure the Multiclass-SGCN (ours) model in the Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding paper on the SDD dataset? | mADEK @4.8s, mF DEK @4.8s |
What metrics were used to measure the SpectralCows model in the Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs paper on the Lyft Level 5 dataset? | ADE |
What metrics were used to measure the TrajAirNet model in the Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace paper on the TrajAir: A General Aviation Trajectory Dataset dataset? | ADE (in world coordinates), FDE (in world coordinates) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.