prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the TAda2D (ResNet-50, 8 frames) model in the TAda! Temporally-Adaptive Convolutions for Video Understanding paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the MoViNet-A2 model in the MoViNets: Mobile Video Networks for Efficient Video Recognition paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, 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 V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, 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 V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the MoViNet-A1 model in the MoViNets: Mobile Video Networks for Efficient Video Recognition paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the OmniVL model in the OmniVL:One Foundation Model for Image-Language and Video-Language Tasks paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the TimeSformer-HR model in the Is Space-Time Attention All You Need for Video Understanding? paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the TimeSformer-L model in the Is Space-Time Attention All You Need for Video Understanding? paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, 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 V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the TPN (TSM-50) model in the Temporal Pyramid Network for Action Recognition paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the Multigrid model in the A Multigrid Method for Efficiently Training Video Models paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the SlowFast model in the SlowFast Networks for Video Recognition paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, 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 V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the MoViNet-A0 model in the MoViNets: Mobile Video Networks for Efficient Video Recognition paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the CCS + two-stream + TRN model in the Cooperative Cross-Stream Network for Discriminative Action Representation paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the VidTr-L model in the VidTr: Video Transformer Without Convolutions paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the TimeSformer model in the Is Space-Time Attention All You Need for Video Understanding? paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the SVT (finetune) model in the Self-supervised Video Transformer paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the TAM (5-shot) model in the Few-Shot Video Classification via Temporal Alignment paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the model3D_1 with left-right augmentation and fps jitter model in the The "something something" video database for learning and evaluating visual common sense paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the Prob-Distill model in the Attention Distillation for Learning Video Representations paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the STM + TRNMultiscale model in the Comparative Analysis of CNN-based Spatiotemporal Reasoning in Videos paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the MViTv2-B (IN-21K + Kinetics400 pretrain) model in the MViTv2: Improved Multiscale Vision Transformers for Classification and Detection paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, 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 V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the MoViNet-A3 model in the MoViNets: Mobile Video Networks for Efficient Video Recognition paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the MViT-L (IN-21K + Kinetics400 pretrain) model in the MViTv2: Improved Multiscale Vision Transformers for Classification and Detection paper on the Something-Something V2 dataset? | Top-1 Accuracy, Top-5 Accuracy, Parameters, GFLOPs |
What metrics were used to measure the DHCM model in the A Hierarchical Context Model for Event Recognition in Surveillance Video paper on the VIRAT Ground 2.0 dataset? | Average Accuracy |
What metrics were used to measure the PMI Sampler model in the PMI Sampler: Patch Similarity Guided Frame Selection for Aerial Action Recognition paper on the UAV-Human dataset? | Top 1 Accuracy |
What metrics were used to measure the MITFAS model in the MITFAS: Mutual Information based Temporal Feature Alignment and Sampling for Aerial Video Action Recognition paper on the UAV-Human dataset? | 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 UAV-Human dataset? | Top 1 Accuracy |
What metrics were used to measure the FAR model in the FAR: Fourier Aerial Video Recognition paper on the UAV-Human dataset? | Top 1 Accuracy |
What metrics were used to measure the AZTR (Ours) model in the AZTR: Aerial Video Action Recognition with Auto Zoom and Temporal Reasoning paper on the RoCoG-v2 dataset? | Top-1 Accuracy |
What metrics were used to measure the MSQNet model in the Actor-agnostic Multi-label Action Recognition with Multi-modal Query paper on the HMDB51 dataset? | Accuracy |
What metrics were used to measure the TSM+W3 model in the Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention paper on the EgoGesture dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the DebiAN model in the Discover and Mitigate Unknown Biases with Debiasing Alternate Networks paper on the BAR dataset? | Accuracy |
What metrics were used to measure the LfF model in the Learning from Failure: Training Debiased Classifier from Biased Classifier paper on the BAR dataset? | Accuracy |
What metrics were used to measure the OccamResNet model in the OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses paper on the BAR dataset? | Accuracy |
What metrics were used to measure the BiaSwap model in the BiaSwap: Removing dataset bias with bias-tailored swapping augmentation paper on the BAR dataset? | Accuracy |
What metrics were used to measure the R2+1D-BERT model in the Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition paper on the UCF 101 dataset? | 3-fold Accuracy |
What metrics were used to measure the FAR model in the FAR: Fourier Aerial Video Recognition paper on the UAV Human dataset? | Top 1 Accuracy |
What metrics were used to measure the PLAR with bbox (Ours) model in the PLAR: Prompt Learning for Action Recognition paper on the Okutama-Action dataset? | Accuracy |
What metrics were used to measure the PLAR without bbox (Ours) model in the PLAR: Prompt Learning for Action Recognition paper on the Okutama-Action dataset? | Accuracy |
What metrics were used to measure the Avion (ViT-L) model in the Training a Large Video Model on a Single Machine in a Day paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the M&M (WTS 60M) model in the M&M Mix: A Multimodal Multiview Transformer Ensemble paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the TAdaFormer-L/14 model in the Temporally-Adaptive Models for Efficient Video Understanding paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the LaViLa (TimeSformer-L) model in the Learning Video Representations from Large Language Models paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the MTV-B (WTS 60M) model in the Multiview Transformers for Video Recognition paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the OMNIVORE (Swin-B, finetuned) model in the Omnivore: A Single Model for Many Visual Modalities paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the TAdaConvNeXtV2-S model in the Temporally-Adaptive Models for Efficient Video Understanding paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the MeMViT-24 model in the MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the MMT model in the Multiscale Multimodal Transformer for Multimodal Action Recognition paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the MoViNet-A6 model in the MoViNets: Mobile Video Networks for Efficient Video Recognition paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the AVT model in the AVT: Audio-Video Transformer for Multimodal Action Recognition paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the ORViT Mformer-L (ORViT blocks) model in the Object-Region Video Transformers paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the TempAgg model in the Technical Report: Temporal Aggregate Representations paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the MoViNet-A5 model in the MoViNets: Mobile Video Networks for Efficient Video Recognition paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the Mformer-HR model in the Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the GSF model in the Gate-Shift-Fuse for Video Action Recognition paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the MoViNet-A4 model in the MoViNets: Mobile Video Networks for Efficient Video Recognition paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the Mformer-L model in the Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the ViViT-L/16x2 Fact. encoder model in the ViViT: A Video Vision Transformer paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the MBT model in the Attention Bottlenecks for Multimodal Fusion paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the Mformer model in the Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the MoViNet-A2 model in the MoViNets: Mobile Video Networks for Efficient Video Recognition paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the TSM model in the Rescaling Egocentric Vision paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the SlowFast model in the Rescaling Egocentric Vision paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the MoViNet-A0 model in the MoViNets: Mobile Video Networks for Efficient Video Recognition paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the TBN model in the Rescaling Egocentric Vision paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the TRN model in the Rescaling Egocentric Vision paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the TSN model in the Rescaling Egocentric Vision paper on the EPIC-KITCHENS-100 dataset? | Action@1, Verb@1, Noun@1, GFLOPs |
What metrics were used to measure the PoseC3D (Pose Only) model in the Revisiting Skeleton-based Action Recognition paper on the Volleyball dataset? | Accuracy |
What metrics were used to measure the GTT (VGG19) model in the Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition paper on the Volleyball dataset? | Accuracy |
What metrics were used to measure the SSU (GT) model in the Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition paper on the Volleyball dataset? | Accuracy |
What metrics were used to measure the SSU (PRO) model in the paper on the Volleyball dataset? | Accuracy |
What metrics were used to measure the ip-CSN-152 (RGB) model in the Video Classification with Channel-Separated Convolutional Networks paper on the Sports-1M dataset? | Video hit@1 , Video hit@5, Clip Hit@1 |
What metrics were used to measure the ip-CSN-101 (RGB) model in the Video Classification with Channel-Separated Convolutional Networks paper on the Sports-1M dataset? | Video hit@1 , Video hit@5, Clip Hit@1 |
What metrics were used to measure the R[2+1]D-Two-Stream-32frame model in the A Closer Look at Spatiotemporal Convolutions for Action Recognition paper on the Sports-1M dataset? | Video hit@1 , Video hit@5, Clip Hit@1 |
What metrics were used to measure the R[2+1]D-RGB-32frame model in the A Closer Look at Spatiotemporal Convolutions for Action Recognition paper on the Sports-1M dataset? | Video hit@1 , Video hit@5, Clip Hit@1 |
What metrics were used to measure the Conv pooling model in the Beyond Short Snippets: Deep Networks for Video Classification paper on the Sports-1M dataset? | Video hit@1 , Video hit@5, Clip Hit@1 |
What metrics were used to measure the R[2+1]D-Flow-32frame model in the A Closer Look at Spatiotemporal Convolutions for Action Recognition paper on the Sports-1M dataset? | Video hit@1 , Video hit@5, Clip Hit@1 |
What metrics were used to measure the P3D model in the Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks paper on the Sports-1M dataset? | Video hit@1 , Video hit@5, Clip Hit@1 |
What metrics were used to measure the C3D model in the Learning Spatiotemporal Features with 3D Convolutional Networks paper on the Sports-1M dataset? | Video hit@1 , Video hit@5, Clip Hit@1 |
What metrics were used to measure the DeepVideo’s Slow Fusion model in the Large-Scale Video Classification with Convolutional Neural Networks paper on the Sports-1M dataset? | Video hit@1 , Video hit@5, Clip Hit@1 |
What metrics were used to measure the TSN model in the HAA500: Human-Centric Atomic Action Dataset with Curated Videos paper on the HAA500 dataset? | Top-1 (%) |
What metrics were used to measure the TPN model in the HAA500: Human-Centric Atomic Action Dataset with Curated Videos paper on the HAA500 dataset? | Top-1 (%) |
What metrics were used to measure the I3D model in the HAA500: Human-Centric Atomic Action Dataset with Curated Videos paper on the HAA500 dataset? | Top-1 (%) |
What metrics were used to measure the SlowFast model in the HAA500: Human-Centric Atomic Action Dataset with Curated Videos paper on the HAA500 dataset? | Top-1 (%) |
What metrics were used to measure the DirecFormer model in the DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition paper on the Jester (Gesture Recognition) dataset? | Val |
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 Jester (Gesture Recognition) dataset? | Val |
What metrics were used to measure the X3D MobileNet-V3 LGD-GC model in the LIGAR: Lightweight General-purpose Action Recognition paper on the Jester (Gesture Recognition) dataset? | Val |
What metrics were used to measure the DMC-Net (ResNet-18) model in the DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition paper on the UCF-101 dataset? | 3-fold Accuracy, Accuracy |
What metrics were used to measure the R3D-18 model in the Federated Self-supervised Learning for Video Understanding paper on the UCF-101 dataset? | 3-fold Accuracy, Accuracy |
What metrics were used to measure the RASAT+PICARD model in the RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL paper on the SParC dataset? | interaction match accuracy, question match accuracy |
What metrics were used to measure the RAT-SQL-TC + GAP model in the Pay More Attention to History: A Context Modelling Strategy for Conversational Text-to-SQL paper on the SParC dataset? | interaction match accuracy, question match accuracy |
What metrics were used to measure the HIE-SQL + GraPPa model in the HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsing paper on the SParC dataset? | interaction match accuracy, question match accuracy |
What metrics were used to measure the RAT-SQL + SCoRe model in the SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing paper on the SParC dataset? | interaction match accuracy, question match accuracy |
What metrics were used to measure the EditSQL + BERT model in the Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions paper on the SParC dataset? | interaction match accuracy, question match accuracy |
What metrics were used to measure the GAZP + BERT model in the Grounded Adaptation for Zero-shot Executable Semantic Parsing paper on the SParC dataset? | interaction match accuracy, question match accuracy |
What metrics were used to measure the SyntaxSQL-con model in the SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task paper on the SParC dataset? | interaction match accuracy, question match accuracy |
What metrics were used to measure the T5-3B+PICARD model in the PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models paper on the SPIDER dataset? | Exact Match Accuracy (in Dev), Execution Accuracy (in Dev) |
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