prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the MLP-3D model in the MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the RSANet-R50 (8+16 frames, ImageNet pretrained, 2 clips) model in the Relational Self-Attention: What's Missing in Attention for Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the SELFYNet-TSM-R50En (8+16 frames, ImageNet pretrained, a single clip) model in the Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the RSANet-R50 (8+16 frames, ImageNet pretrained, a single clip) model in the Relational Self-Attention: What's Missing in Attention for Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the PAN ResNet101 (RGB only, no Flow) model in the PAN: Towards Fast Action Recognition via Learning Persistence of Appearance paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the GSM Ensemble InceptionV3 (ImageNet pretrained) model in the Gate-Shift Networks for Video Action Recognition paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the MSNet-R50En (ensemble) model in the MotionSqueeze: Neural Motion Feature Learning for Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the AE-Net (8+16frames) model in the AE-Net:Adjoint Enhancement Network for Efficient Action Recognition in Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the VoV3D-L (32frames, Kinetics pretrained, single) model in the Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the MSNet-R50En (8+16 ensemble, ImageNet pretrained) model in the MotionSqueeze: Neural Motion Feature Learning for Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the SELFYNet-TSM-R50 (16 frames, ImageNet pretrained) model in the Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the RNL+TSM Ensemble(R50+R101, ImageNet pretrained) model in the Region-based Non-local Operation for Video Classification paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the RSANet-R50 (16 frames, ImageNet pretrained, a single clip) model in the Relational Self-Attention: What's Missing in Attention for Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the MVFNet-R50EN model in the MVFNet: Multi-View Fusion Network for Efficient Video Recognition paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the STPG (8+16frames) model in the Spatial-Temporal Pyramid Graph Reasoning for Action Recognition paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the GB + DF + LB (ResNet152, ImageNet pretrained) model in the Action recognition with spatial-temporal discriminative filter banks paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the ip-CSN-152 (IG-65M pretraining) model in the Video Classification with Channel-Separated Convolutional Networks paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the MARS+RGB+Flow (64 frames, Kinetics pretrained) model in the MARS: Motion-Augmented RGB Stream for Action Recognition paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the RNL+TSM Ensemble(ResNet50, ImageNet pretrained) model in the Region-based Non-local Operation for Video Classification paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the VoV3D-M (32frames, Kinetics pretrained, single) model in the Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the TSM+W3 (16 frames, ResNet50) model in the Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the AK-Net model in the Action Keypoint Network for Efficient Video Recognition paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the MSNet-R50 (16 frames, ImageNet pretrained) model in the MotionSqueeze: Neural Motion Feature Learning for Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the ir-CSN-152 (IG-65M pretraining) model in the Video Classification with Channel-Separated Convolutional Networks paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the RSANet-R50 (8 frames, ImageNet pretrained, a single clip) model in the Relational Self-Attention: What's Missing in Attention for Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the GSM InceptionV3 (16 frames, ImageNet pretrained) model in the Gate-Shift Networks for Video Action Recognition paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the R(2+1)D-152 (IG-65M pretraining) model in the Video Classification with Channel-Separated Convolutional Networks paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the MSNet-R50 (8 frames, ImageNet pretrained) model in the MotionSqueeze: Neural Motion Feature Learning for Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the TSM (RGB + Flow) model in the TSM: Temporal Shift Module for Efficient Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the VoV3D-L (32frames, from scratch, single) model in the Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the ResNet50 I3D (Moments pretrained) model in the Moments in Time Dataset: one million videos for event understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the VoV3D-M (32frames, from scratch, single) model in the Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the TSMEn model in the TSM: Temporal Shift Module for Efficient Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the TRG (Inception-V3) model in the Temporal Reasoning Graph for Activity Recognition paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the TRG (ResNet-50) model in the Temporal Reasoning Graph for Activity Recognition paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the VoV3D-L (16frames, from scratch, single) model in the Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the ir-CSN-152 model in the Video Classification with Channel-Separated Convolutional Networks paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the RSTG (Kinetics pretrained) model in the Recurrent Space-time Graph Neural Networks paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the ResNet50 I3D (Kinetics pretrained) model in the Moments in Time Dataset: one million videos for event understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the ir-CSN-101 model in the Video Classification with Channel-Separated Convolutional Networks paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the S3D-G (ImageNet pretrained) model in the Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the VoV3D-M (16frames, from scratch, single) model in the Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the S3D model in the Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the TSM model in the TSM: Temporal Shift Module for Efficient Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the ECO-Net (ImageNet pretrained) model in the ECO: Efficient Convolutional Network for Online Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the ECO-Net model in the ECO: Efficient Convolutional Network for Online Video Understanding paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the NL I3D + GCN model in the Videos as Space-Time Region Graphs paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the NL I3D model in the Non-local Neural Networks paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the Motion Feature Net model in the Motion Feature Network: Fixed Motion Filter for Action Recognition paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the 2-Stream TRN model in the Temporal Relational Reasoning in Videos paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the HF-TSN (ImageNet pretraining) model in the Hierarchical Feature Aggregation Networks for Video Action Recognition paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the MARS+RGB+Flow (16 frames, Kinetics pretrained) model in the MARS: Motion-Augmented RGB Stream for Action Recognition paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the M-TRN model in the Temporal Relational Reasoning in Videos paper on the Something-Something V1 dataset? | Top 1 Accuracy, Top 5 Accuracy, Param., GFLOPs |
What metrics were used to measure the PoseC3D (RGB + Pose) model in the Revisiting Skeleton-based Action Recognition paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the MMNet (RGB + Pose) model in the MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the STAR-Transformer (RGB + Pose) model in the STAR-Transformer: A Spatio-temporal Cross Attention Transformer for Human Action Recognition paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the 3DA (RGB + Pose) model in the Cross-Modal Learning with 3D Deformable Attention for Action Recognition paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the VPN++ (RGB + Pose) model in the VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the IPP-Net (Parsing + Pose) model in the Integrating Human Parsing and Pose Network for Human Action Recognition paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the ViewCon (RGB) model in the Multi-View Action Recognition Using Contrastive Learning paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the VPN (RGB + Pose) model in the VPN: Learning Video-Pose Embedding for Activities of Daily Living paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the ST-GCN + AS-GCN w/DH-TCN model in the Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the Gimme Signals (AIS) model in the Gimme Signals: Discriminative signal encoding for multimodal activity recognition paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the TSRJI model in the Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the Skelemotion + Yang et al. (skeleton only) model in the SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the Body Pose Evolution Map model in the Recognizing Human Actions as the Evolution of Pose Estimation Maps paper on the NTU RGB+D 120 dataset? | Accuracy (Cross-Setup), Accuracy (Cross-Subject) |
What metrics were used to measure the LaViLa (Finetuned, TimeSformer-L) model in the Learning Video Representations from Large Language Models paper on the Charades-Ego dataset? | mAP |
What metrics were used to measure the HierVL model in the HierVL: Learning Hierarchical Video-Language Embeddings paper on the Charades-Ego dataset? | mAP |
What metrics were used to measure the EgoVLP model in the Egocentric Video-Language Pretraining paper on the Charades-Ego dataset? | mAP |
What metrics were used to measure the LaViLa (Zero-shot, TimeSformer-L) model in the Learning Video Representations from Large Language Models paper on the Charades-Ego dataset? | mAP |
What metrics were used to measure the HierVL (Zero-shot) model in the HierVL: Learning Hierarchical Video-Language Embeddings paper on the Charades-Ego dataset? | mAP |
What metrics were used to measure the FAR model in the FAR: Fourier Aerial Video Recognition paper on the NEC Drone dataset? | Top 1 Accuracy |
What metrics were used to measure the FAR model in the FAR: Fourier Aerial Video Recognition paper on the Drone-Action dataset? | Top 1 Accuracy, Top-1 Accuracy |
What metrics were used to measure the AZTR model in the AZTR: Aerial Video Action Recognition with Auto Zoom and Temporal Reasoning paper on the Drone-Action dataset? | Top 1 Accuracy, Top-1 Accuracy |
What metrics were used to measure the OHA-GCN (Two stream; HP + OHP-hands + informative samples) model in the Skeleton-based Action Recognition of People Handling Objects paper on the ICVL-4 dataset? | Accuracy |
What metrics were used to measure the ST-GCN model in the Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition paper on the ICVL-4 dataset? | Accuracy |
What metrics were used to measure the PoseC3D (RGB + Pose) model in the Revisiting Skeleton-based Action Recognition paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the UMDR (RGB-D) model in the A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion Recognition paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the MMNet (RGB + Pose) model in the MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the Hierarchical Action Classification (RGB + Pose) model in the Hierarchical Action Classification with Network Pruning paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the VPN (RGB + Pose) model in the VPN: Learning Video-Pose Embedding for Activities of Daily Living paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the 3DA (RGB + Pose) model in the Cross-Modal Learning with 3D Deformable Attention for Action Recognition paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the Action Machine (RGB only) model in the Action Machine: Rethinking Action Recognition in Trimmed Videos paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the IPP-Net (Parsing + Pose) model in the Integrating Human Parsing and Pose Network for Human Action Recognition paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the ViewCon (RGB + Pose) model in the Multi-View Action Recognition Using Contrastive Learning paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the TSMF (RGB + Pose) model in the Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the MSAF (RGB+Pose) model in the MSAF: Multimodal Split Attention Fusion paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the STAR-Transformer (RGB + Pose) model in the STAR-Transformer: A Spatio-temporal Cross Attention Transformer for Human Action Recognition paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the MMTM (RGB+Pose) model in the MMTM: Multimodal Transfer Module for CNN Fusion paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the FUSION (IR+Pose) model in the Infrared and 3D skeleton feature fusion for RGB-D action recognition paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the PoseMap (RGB+Pose) model in the Recognizing Human Actions as the Evolution of Pose Estimation Maps paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the B2C-AFM(RGB+Pose) model in the B2C-AFM: Bi-Directional Co-Temporal and Cross-Spatial Attention Fusion Model for Human Action Recognition paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the PB-GCN (Skeleton only) model in the Part-based Graph Convolutional Network for Action Recognition paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the Glimpse Clouds (RGB only) model in the Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the Skelemotion + Yang et al. (Skeleton only) model in the SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the DSSCA-SSLM (RGB only) model in the Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos paper on the NTU RGB+D dataset? | Accuracy (CS), Accuracy (CV) |
What metrics were used to measure the JMRN model in the Pose And Joint-Aware Action Recognition paper on the Mimetics dataset? | mAP |
What metrics were used to measure the SIP-Net model in the Pose And Joint-Aware Action Recognition paper on the Mimetics dataset? | mAP |
What metrics were used to measure the MSQNet model in the Actor-agnostic Multi-label Action Recognition with Multi-modal Query paper on the Charades dataset? | MAP |
What metrics were used to measure the SlowFast model in the The MECCANO Dataset: Understanding Human-Object Interactions from Egocentric Videos in an Industrial-like Domain paper on the MECCANO dataset? | Top-1 Accuracy |
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