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What metrics were used to measure the IFRNet_large model in the IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the CURE model in the Learning Cross-Video Neural Representations for High-Quality Frame Interpolation paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the ABME model in the Asymmetric Bilateral Motion Estimation for Video Frame Interpolation paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the XVFI (S_{tst}=5) model in the XVFI: eXtreme Video Frame Interpolation paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the IFRNet_base model in the IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the IFRNet_small model in the IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the CDFI model in the CDFI: Compression-Driven Network Design for Frame Interpolation paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the SepConv-L1 model in the Video Frame Interpolation via Adaptive Separable Convolution paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the RRIN model in the Video Frame Interpolation via Residue Refinement paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the AdaCoF_f model in the AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the FeFlow_f model in the FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the BMBC model in the BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the FeFlow model in the FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the AdaCoF model in the AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation paper on the MSU Video Frame Interpolation dataset?
Subjective score, PSNR, SSIM, VMAF, LPIPS, MS-SSIM, FPS
What metrics were used to measure the VRT model in the VRT: A Video Restoration Transformer paper on the Vid4 - 4x upscaling dataset?
PSNR, Parameters, SSIM, runtime (s)
What metrics were used to measure the RSTT-L model in the RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution paper on the Vid4 - 4x upscaling dataset?
PSNR, Parameters, SSIM, runtime (s)
What metrics were used to measure the RSTT-M model in the RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution paper on the Vid4 - 4x upscaling dataset?
PSNR, Parameters, SSIM, runtime (s)
What metrics were used to measure the Zooming Slow-Mo model in the Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution paper on the Vid4 - 4x upscaling dataset?
PSNR, Parameters, SSIM, runtime (s)
What metrics were used to measure the RSTT-S model in the RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution paper on the Vid4 - 4x upscaling dataset?
PSNR, Parameters, SSIM, runtime (s)
What metrics were used to measure the EMA-VFI model in the Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation paper on the X4K1000FPS-2K dataset?
PSNR, SSIM
What metrics were used to measure the M2M-PWC model in the Many-to-many Splatting for Efficient Video Frame Interpolation paper on the X4K1000FPS-2K dataset?
PSNR, SSIM
What metrics were used to measure the CURE model in the Learning Cross-Video Neural Representations for High-Quality Frame Interpolation paper on the X4K1000FPS-2K dataset?
PSNR, SSIM
What metrics were used to measure the CURE model in the Learning Cross-Video Neural Representations for High-Quality Frame Interpolation paper on the Nvidia Dynamic Scene dataset?
PSNR, SSIM
What metrics were used to measure the IFCAT (Ours) model in the Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence paper on the HPatches dataset?
Average End-Point Error
What metrics were used to measure the BIT model in the BIT: Bi-Level Temporal Modeling for Efficient Supervised Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the DiffAct model in the Diffusion Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the SF-TMN(ASFormer) model in the SF-TMN: SlowFast Temporal Modeling Network for Surgical Phase Recognition paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the CETNet model in the Cross-Enhancement Transformer for Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the ASPnet model in the ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the LTContext model in the How Much Temporal Long-Term Context is Needed for Action Segmentation? paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the EUT model in the Do we really need temporal convolutions in action segmentation? paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the UVAST model in the Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the DPRN model in the Maximization and restoration: Action segmentation through dilation passing and temporal reconstruction paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the C2F-TCN model in the Coarse to Fine Multi-Resolution Temporal Convolutional Network paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the ASFormer model in the ASFormer: Transformer for Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the ASRF + HASR model in the Refining Action Segmentation With Hierarchical Video Representations paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the DA model in the Action Segmentation with Mixed Temporal Domain Adaptation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the ETSN model in the Efficient Two-Step Networks for Temporal Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the ASRF model in the Alleviating Over-segmentation Errors by Detecting Action Boundaries paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the SSTDA model in the Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the BCN model in the Boundary-Aware Cascade Networks for Temporal Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the FIFA + MS-TCN model in the FIFA: Fast Inference Approximation for Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the G2L(SSTDA) model in the Global2Local: Efficient Structure Search for Video Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the DS-TCN model in the Depthwise Separable Temporal Convolutional Network for Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the MuCon model in the Fast Weakly Supervised Action Segmentation Using Mutual Consistency paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the DTGRM model in the Temporal Relational Modeling with Self-Supervision for Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the MS-TCN++ (I3D) model in the MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the MS-TCN++(I3D) (sh) model in the MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the MS-TCN (IDT) model in the MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the MS-TCN (I3D) model in the MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the UDE model in the Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the RF++-SSTDA model in the RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the TSA (FINCH) model in the Leveraging triplet loss for unsupervised action segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the TSA (Kmeans) model in the Leveraging triplet loss for unsupervised action segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the TSA (Spectral) model in the Leveraging triplet loss for unsupervised action segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the TW-FINCH (K=avg/activity) model in the Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation paper on the Breakfast dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit, mIoU, F1
What metrics were used to measure the MRG-Net model in the Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery paper on the JIGSAWS dataset?
Edit Distance
What metrics were used to measure the RL+Tree model in the Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search paper on the JIGSAWS dataset?
Edit Distance
What metrics were used to measure the RL (full) model in the Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification paper on the JIGSAWS dataset?
Edit Distance
What metrics were used to measure the TricorNet model in the TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation paper on the JIGSAWS dataset?
Edit Distance
What metrics were used to measure the SDL+SC-CRF model in the End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding paper on the JIGSAWS dataset?
Edit Distance
What metrics were used to measure the TCN model in the Temporal Convolutional Networks: A Unified Approach to Action Segmentation paper on the JIGSAWS dataset?
Edit Distance
What metrics were used to measure the ST-CNN+Seg model in the Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation paper on the JIGSAWS dataset?
Edit Distance
What metrics were used to measure the Br-Prompt+ASPnet (RGB, flow, accelerometer) model in the ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the Semantic2Graph model in the Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in Videos paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the DiffAct model in the Diffusion Action Segmentation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the SF-TMN(ASFormer) model in the SF-TMN: SlowFast Temporal Modeling Network for Surgical Phase Recognition paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the LTContext model in the How Much Temporal Long-Term Context is Needed for Action Segmentation? paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the UVAST model in the Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the Br-Prompt+ASFormer model in the Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the EUT model in the Do we really need temporal convolutions in action segmentation? paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the CETNet model in the Cross-Enhancement Transformer for Action Segmentation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the DPRN model in the Maximization and restoration: Action segmentation through dilation passing and temporal reconstruction paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the ASFormer+ASRF model in the ASFormer: Transformer for Action Segmentation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the ASRF + HASR model in the Refining Action Segmentation With Hierarchical Video Representations paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the ASRF model in the Alleviating Over-segmentation Errors by Detecting Action Boundaries paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the ASFormer model in the ASFormer: Transformer for Action Segmentation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the ETSN model in the Efficient Two-Step Networks for Temporal Action Segmentation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the BCN model in the Boundary-Aware Cascade Networks for Temporal Action Segmentation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the SSTDA model in the Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the C2F-TCN model in the Coarse to Fine Multi-Resolution Temporal Convolutional Network paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the DA model in the Action Segmentation with Mixed Temporal Domain Adaptation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the MS-TCN++ model in the MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the G2L (MS-TCN) model in the Global2Local: Efficient Structure Search for Video Action Segmentation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the MS-TCN++(sh) model in the MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the DTGRM model in the Temporal Relational Modeling with Self-Supervision for Action Segmentation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the DS-TCN model in the Depthwise Separable Temporal Convolutional Network for Action Segmentation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the MS-TCN model in the MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the TW-FINCH (K=avg/activity) model in the Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation paper on the 50 Salads dataset?
F1@50%, F1@25%, F1@10%, Acc, Edit
What metrics were used to measure the UnLoc-L model in the UnLoc: A Unified Framework for Video Localization Tasks paper on the COIN dataset?
Frame accuracy
What metrics were used to measure the Univl model in the UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation paper on the COIN dataset?
Frame accuracy
What metrics were used to measure the VideoClip model in the VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding paper on the COIN dataset?
Frame accuracy
What metrics were used to measure the VLM model in the VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding paper on the COIN dataset?
Frame accuracy
What metrics were used to measure the TACo model in the TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment paper on the COIN dataset?
Frame accuracy
What metrics were used to measure the MIL-NCE model in the End-to-End Learning of Visual Representations from Uncurated Instructional Videos paper on the COIN dataset?
Frame accuracy
What metrics were used to measure the ActBERT model in the ActBERT: Learning Global-Local Video-Text Representations paper on the COIN dataset?
Frame accuracy
What metrics were used to measure the CBT model in the End-to-End Learning of Visual Representations from Uncurated Instructional Videos paper on the COIN dataset?
Frame accuracy
What metrics were used to measure the LTContext model in the How Much Temporal Long-Term Context is Needed for Action Segmentation? paper on the Assembly101 dataset?
F1@10%, F1@25%, F1@50%, Edit, MoF
What metrics were used to measure the ASFormer model in the ASFormer: Transformer for Action Segmentation paper on the Assembly101 dataset?
F1@10%, F1@25%, F1@50%, Edit, MoF
What metrics were used to measure the C2F-TCN model in the Coarse to Fine Multi-Resolution Temporal Convolutional Network paper on the Assembly101 dataset?
F1@10%, F1@25%, F1@50%, Edit, MoF