prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the ConvLSTM model in the Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting paper on the KTH dataset? | FVD, SSIM, PSNR, LPIPS, Cond, Train, Pred, Params (M), MSE, Diversity |
What metrics were used to measure the DVG model in the Diverse Video Generation using a Gaussian Process Trigger paper on the KTH dataset? | FVD, SSIM, PSNR, LPIPS, Cond, Train, Pred, Params (M), MSE, Diversity |
What metrics were used to measure the MCnet [villegas2017mcnet] model in the Temporal View Synthesis of Dynamic Scenes through 3D Object Motion Estimation with Multi-Plane Images paper on the MPI Sintel dataset? | LPIPS, PSNR, SSIM, ST-RRED |
What metrics were used to measure the DMVFN model in the A Dynamic Multi-Scale Voxel Flow Network for Video Prediction paper on the DAVIS 2017 dataset? | LPIPS, MS-SSIM |
What metrics were used to measure the DVF model in the Video Frame Synthesis using Deep Voxel Flow paper on the DAVIS 2017 dataset? | LPIPS, MS-SSIM |
What metrics were used to measure the MAGVIT-v2 model in the Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation paper on the Kinetics-600 12 frames, 64x64 dataset? | FVD, IS, Cond, Pred |
What metrics were used to measure the MAGVIT (-L-FP) model in the MAGVIT: Masked Generative Video Transformer paper on the Kinetics-600 12 frames, 64x64 dataset? | FVD, IS, Cond, Pred |
What metrics were used to measure the RIN (1000 steps) model in the Scalable Adaptive Computation for Iterative Generation paper on the Kinetics-600 12 frames, 64x64 dataset? | FVD, IS, Cond, Pred |
What metrics were used to measure the RIN (400 steps) model in the Scalable Adaptive Computation for Iterative Generation paper on the Kinetics-600 12 frames, 64x64 dataset? | FVD, IS, Cond, Pred |
What metrics were used to measure the RaMViD model in the Diffusion Models for Video Prediction and Infilling paper on the Kinetics-600 12 frames, 64x64 dataset? | FVD, IS, Cond, Pred |
What metrics were used to measure the MAGVIT (-B-FP) model in the MAGVIT: Masked Generative Video Transformer paper on the Kinetics-600 12 frames, 64x64 dataset? | FVD, IS, Cond, Pred |
What metrics were used to measure the TriVD-GAN-FP model in the Transformation-based Adversarial Video Prediction on Large-Scale Data paper on the Kinetics-600 12 frames, 64x64 dataset? | FVD, IS, Cond, Pred |
What metrics were used to measure the CCVS model in the CCVS: Context-aware Controllable Video Synthesis paper on the Kinetics-600 12 frames, 64x64 dataset? | FVD, IS, Cond, Pred |
What metrics were used to measure the Video VQ-VAE FVD model in the Predicting Video with VQVAE paper on the Kinetics-600 12 frames, 64x64 dataset? | FVD, IS, Cond, Pred |
What metrics were used to measure the DVD-GAN-FP model in the Adversarial Video Generation on Complex Datasets paper on the Kinetics-600 12 frames, 64x64 dataset? | FVD, IS, Cond, Pred |
What metrics were used to measure the Video Transformer model in the Scaling Autoregressive Video Models paper on the Kinetics-600 12 frames, 64x64 dataset? | FVD, IS, Cond, Pred |
What metrics were used to measure the LVT model in the Latent Video Transformer paper on the Kinetics-600 12 frames, 64x64 dataset? | FVD, IS, Cond, Pred |
What metrics were used to measure the GHVAEs model in the Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction paper on the Cityscapes 128x128 dataset? | FVD, SSIM, PSNR, LPIPS, Cond., Train, Pred |
What metrics were used to measure the Hier-VRNN model in the Improved Conditional VRNNs for Video Prediction paper on the Cityscapes 128x128 dataset? | FVD, SSIM, PSNR, LPIPS, Cond., Train, Pred |
What metrics were used to measure the SVG (from Hier-VRNN) model in the Stochastic Video Generation with a Learned Prior paper on the Cityscapes 128x128 dataset? | FVD, SSIM, PSNR, LPIPS, Cond., Train, Pred |
What metrics were used to measure the SLAMP model in the SLAMP: Stochastic Latent Appearance and Motion Prediction paper on the Cityscapes 128x128 dataset? | FVD, SSIM, PSNR, LPIPS, Cond., Train, Pred |
What metrics were used to measure the SRVP model in the Stochastic Latent Residual Video Prediction paper on the Cityscapes 128x128 dataset? | FVD, SSIM, PSNR, LPIPS, Cond., Train, Pred |
What metrics were used to measure the ODE2VAE-KL model in the ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural networks paper on the CMU Mocap-1 dataset? | Test Error |
What metrics were used to measure the ODE2VAE model in the ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural networks paper on the CMU Mocap-1 dataset? | Test Error |
What metrics were used to measure the DMVFN model in the A Dynamic Multi-Scale Voxel Flow Network for Video Prediction paper on the Cityscapes dataset? | LPIPS, MS-SSIM |
What metrics were used to measure the FVS model in the Future Video Synthesis with Object Motion Prediction paper on the Cityscapes dataset? | LPIPS, MS-SSIM |
What metrics were used to measure the DVF model in the Video Frame Synthesis using Deep Voxel Flow paper on the Cityscapes dataset? | LPIPS, MS-SSIM |
What metrics were used to measure the DMVFN model in the A Dynamic Multi-Scale Voxel Flow Network for Video Prediction paper on the KITTI dataset? | LPIPS, MS-SSIM |
What metrics were used to measure the FVS model in the Future Video Synthesis with Object Motion Prediction paper on the KITTI dataset? | LPIPS, MS-SSIM |
What metrics were used to measure the DVF model in the Video Frame Synthesis using Deep Voxel Flow paper on the KITTI dataset? | LPIPS, MS-SSIM |
What metrics were used to measure the SimVP+gSTA-Sx10 model in the SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the IAM4VPx5 model in the Implicit Stacked Autoregressive Model for Video Prediction paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the MogaNet (SimVP 10x) model in the Efficient Multi-order Gated Aggregation Network paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the VAN (SimVP 10x) model in the Efficient Multi-order Gated Aggregation Network paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the HorNet (SimVP 10x) model in the Efficient Multi-order Gated Aggregation Network paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the ConvNeXt (SimVP 10x) model in the Efficient Multi-order Gated Aggregation Network paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the SwinLSTM model in the SwinLSTM:Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the Uniformer (SimVP 10x) model in the Efficient Multi-order Gated Aggregation Network paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the MLP-Mixer (SimVP 10x) model in the Efficient Multi-order Gated Aggregation Network paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the Swin (SimVP 10x) model in the Efficient Multi-order Gated Aggregation Network paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the ViT (SimVP 10x) model in the Efficient Multi-order Gated Aggregation Network paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the TAU model in the Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the Poolformer (SimVP 10x) model in the Efficient Multi-order Gated Aggregation Network paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the ConvMixer (SimVP 10x) model in the Efficient Multi-order Gated Aggregation Network paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the CrevNet+ST-LSTM model in the Efficient and Information-Preserving Future Frame Prediction and Beyond paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the SimVP model in the SimVP: Simpler yet Better Video Prediction paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the PhyDNet model in the Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the MAU model in the MAU: A Motion-Aware Unit for Video Prediction and Beyond paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the MSPred model in the MSPred: Video Prediction at Multiple Spatio-Temporal Scales with Hierarchical Recurrent Networks paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the CrevNet+ConvLSTM model in the Efficient and Information-Preserving Future Frame Prediction and Beyond paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the E3D-LSTM model in the Eidetic 3D LSTM: A Model for Video Prediction and Beyond paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the LMC model in the Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the SA-ConvLSTM model in the Self-Attention ConvLSTM for Spatiotemporal Prediction paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the MIM* model in the Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the Causal LSTM model in the PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the PredRNN-V2 model in the PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the MIM model in the Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the PredRNN model in the PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the ConvLSTM model in the Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting paper on the Moving MNIST dataset? | MSE, MAE, SSIM, LPIPS, PSNR |
What metrics were used to measure the OPT model in the paper on the Vimeo90K dataset? | LPIPS, MS-SSIM |
What metrics were used to measure the DMVFN model in the A Dynamic Multi-Scale Voxel Flow Network for Video Prediction paper on the Vimeo90K dataset? | LPIPS, MS-SSIM |
What metrics were used to measure the DVF model in the Video Frame Synthesis using Deep Voxel Flow paper on the Vimeo90K dataset? | LPIPS, MS-SSIM |
What metrics were used to measure the SDCNet model in the SDC-Net: Video prediction using spatially-displaced convolution paper on the YouTube-8M dataset? | Average PSNR |
What metrics were used to measure the MGP-VAE (with geodesic loss) model in the Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders paper on the Sprites dataset? | MSE |
What metrics were used to measure the SRVP model in the Stochastic Latent Residual Video Prediction paper on the KTH 64x64 cond10 pred30 dataset? | FVD |
What metrics were used to measure the MAGVIT model in the MAGVIT: Masked Generative Video Transformer paper on the Something-Something V2 dataset? | FVD |
What metrics were used to measure the MGP-VAE (with geodesic loss) model in the Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders paper on the Colored dSprites dataset? | MSE |
What metrics were used to measure the IAM4VP model in the Implicit Stacked Autoregressive Model for Video Prediction paper on the Human3.6M dataset? | SSIM, MSE, MAE |
What metrics were used to measure the SimVP model in the SimVP: Simpler yet Better Video Prediction paper on the Human3.6M dataset? | SSIM, MSE, MAE |
What metrics were used to measure the PhyDNet model in the Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction paper on the Human3.6M dataset? | SSIM, MSE, MAE |
What metrics were used to measure the E3D-LSTM model in the Eidetic 3D LSTM: A Model for Video Prediction and Beyond paper on the Human3.6M dataset? | SSIM, MSE, MAE |
What metrics were used to measure the MIM model in the Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics paper on the Human3.6M dataset? | SSIM, MSE, MAE |
What metrics were used to measure the PredRNN model in the PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs paper on the Human3.6M dataset? | SSIM, MSE, MAE |
What metrics were used to measure the FRNN model in the Folded Recurrent Neural Networks for Future Video Prediction paper on the Human3.6M dataset? | SSIM, MSE, MAE |
What metrics were used to measure the GhostFaceNetV2-1 (MS1MV3) model in the GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the Prodpoly model in the Deep Polynomial Neural Networks paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the DiscFace model in the DiscFace: Minimum Discrepancy Learning for Deep Face Recognition paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the ArcFace + MS1MV2 + R100 model in the AdaFace: Quality Adaptive Margin for Face Recognition paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the DCQ model in the Dynamic Class Queue for Large Scale Face Recognition In the Wild paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the AdaFace + WebFace4M + R100 model in the AdaFace: Quality Adaptive Margin for Face Recognition paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the EdgeFace - S (g=0.5) (ours) model in the EdgeFace: Efficient Face Recognition Model for Edge Devices paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the CircleLoss model in the Circle Loss: A Unified Perspective of Pair Similarity Optimization paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the FaceTransformer+OctupletLoss model in the Octuplet Loss: Make Face Recognition Robust to Image Resolution paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the EdgeFace - XS (g=0.6) (ours) model in the EdgeFace: Efficient Face Recognition Model for Edge Devices paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the QMagFace model in the QMagFace: Simple and Accurate Quality-Aware Face Recognition paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the DigiFace-1M model in the DigiFace-1M: 1 Million Digital Face Images for Face Recognition paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the OcularAI-Face model in the MagicEye: An Intelligent Wearable Towards Independent Living of Visually Impaired paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the PIC - MagFace model in the PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the PIC - QMagFace model in the PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the PIC - ArcFace model in the PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition paper on the LFW dataset? | Accuracy, FNMR [%] @ 10-3 FMR, F1-score, Precision, Recall |
What metrics were used to measure the Model with Up Convolution + DoG Filter model in the Thermal to Visible Face Recognition Using Deep Autoencoders paper on the EURECOM dataset? | Rank-1 |
What metrics were used to measure the FaceNet+Adaptive Threshold model in the Data-specific Adaptive Threshold for Face Recognition and Authentication paper on the Color FERET (Online Open Set) dataset? | Average Accuracy (10 times) |
What metrics were used to measure the FaceNet+Fixed Threshold (0.3968) model in the Data-specific Adaptive Threshold for Face Recognition and Authentication paper on the Color FERET (Online Open Set) dataset? | Average Accuracy (10 times) |
What metrics were used to measure the ArcFace+CSFM model in the Controllable and Guided Face Synthesis for Unconstrained Face Recognition paper on the IJB-B dataset? | Rank-1, TAR @ FAR=0.01, Rank-5, TAR @ FAR=0.0001, TAR @ FAR=1e-3, TAR @ FAR=1e-4, TAR @ FAR=1e-5 |
What metrics were used to measure the ArcFace + MS1MV2 + R100 model in the AdaFace: Quality Adaptive Margin for Face Recognition paper on the IJB-B dataset? | Rank-1, TAR @ FAR=0.01, Rank-5, TAR @ FAR=0.0001, TAR @ FAR=1e-3, TAR @ FAR=1e-4, TAR @ FAR=1e-5 |
What metrics were used to measure the EdgeFace - S (g=0.5) (ours) model in the EdgeFace: Efficient Face Recognition Model for Edge Devices paper on the IJB-B dataset? | Rank-1, TAR @ FAR=0.01, Rank-5, TAR @ FAR=0.0001, TAR @ FAR=1e-3, TAR @ FAR=1e-4, TAR @ FAR=1e-5 |
What metrics were used to measure the EdgeFace - XS (g=0.6) (ours) model in the EdgeFace: Efficient Face Recognition Model for Edge Devices paper on the IJB-B dataset? | Rank-1, TAR @ FAR=0.01, Rank-5, TAR @ FAR=0.0001, TAR @ FAR=1e-3, TAR @ FAR=1e-4, TAR @ FAR=1e-5 |
What metrics were used to measure the ElasticFace-Cos model in the ElasticFace: Elastic Margin Loss for Deep Face Recognition paper on the IJB-B dataset? | Rank-1, TAR @ FAR=0.01, Rank-5, TAR @ FAR=0.0001, TAR @ FAR=1e-3, TAR @ FAR=1e-4, TAR @ FAR=1e-5 |
What metrics were used to measure the AdaFace + MS1MV3 + R100 model in the AdaFace: Quality Adaptive Margin for Face Recognition paper on the IJB-B dataset? | Rank-1, TAR @ FAR=0.01, Rank-5, TAR @ FAR=0.0001, TAR @ FAR=1e-3, TAR @ FAR=1e-4, TAR @ FAR=1e-5 |
What metrics were used to measure the PIC - ArcFace model in the PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition paper on the MORPH dataset? | FNMR [%] @ 10-3 FMR |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.