prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the SHPR-Net model in the SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds paper on the NYU Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the Dense Pixel-wise Estimation model in the Dense 3D Regression for Hand Pose Estimation paper on the NYU Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the Pose-REN model in the Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation paper on the NYU Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the DeepPrior++ model in the DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation paper on the NYU Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the REN model in the Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation paper on the NYU Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the REN model in the Towards Good Practices for Deep 3D Hand Pose Estimation paper on the NYU Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the Hand4Whole model in the Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation paper on the 3DPW dataset? | MPJPE |
What metrics were used to measure the Ours-15views model in the Efficient Virtual View Selection for 3D Hand Pose Estimation paper on the ICVL dataset? | Error (mm) |
What metrics were used to measure the TriHorn-Net model in the TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation paper on the MSRA Hands dataset? | Average 3D Error |
What metrics were used to measure the AWR model in the AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation paper on the MSRA Hands dataset? | Average 3D Error |
What metrics were used to measure the Teacher-Student model in the Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training paper on the MSRA Hands dataset? | Average 3D Error |
What metrics were used to measure the Dense Pixel-wise Estimation model in the Dense 3D Regression for Hand Pose Estimation paper on the MSRA Hands dataset? | Average 3D Error |
What metrics were used to measure the HandFoldingNet model in the HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton paper on the MSRA Hands dataset? | Average 3D Error |
What metrics were used to measure the V2V-PoseNet model in the V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map paper on the MSRA Hands dataset? | Average 3D Error |
What metrics were used to measure the SHPR-Net model in the SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds paper on the MSRA Hands dataset? | Average 3D Error |
What metrics were used to measure the PixelwiseRegression model in the Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder paper on the MSRA Hands dataset? | Average 3D Error |
What metrics were used to measure the Pose-REN model in the Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation paper on the MSRA Hands dataset? | Average 3D Error |
What metrics were used to measure the DeepPrior++ model in the DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation paper on the MSRA Hands dataset? | Average 3D Error |
What metrics were used to measure the REN model in the Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation paper on the MSRA Hands dataset? | Average 3D Error |
What metrics were used to measure the FINNger model in the FINNger -- Applying artificial intelligence to ease math learning for children paper on the Custom FINNgers dataset? | 1:1 Accuracy |
What metrics were used to measure the Ours-15views model in the Efficient Virtual View Selection for 3D Hand Pose Estimation paper on the HANDS 2019 dataset? | Average 3D Error |
What metrics were used to measure the HandAugment model in the HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimation paper on the HANDS 2019 dataset? | Average 3D Error |
What metrics were used to measure the AWR model in the AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation paper on the HANDS 2019 dataset? | Average 3D Error |
What metrics were used to measure the Virtual View Selection model in the Efficient Virtual View Selection for 3D Hand Pose Estimation paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the TriHorn-Net model in the TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the HandFoldingNet model in the HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the AWR model in the AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the DePOTR model in the MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the Teacher-Student model in the Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the PixelwiseRegression model in the Pixel-wise Regression: 3D Hand Pose Estimation via Spatial-form Representation and Differentiable Decoder paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the V2V-PoseNet model in the V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the A2J model in the A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the Pose-REN model in the Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the SHPR-Net model in the SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the Dense Pixel-wise Estimation model in the Dense 3D Regression for Hand Pose Estimation paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the Tree Region Ensemble Network model in the Towards Good Practices for Deep 3D Hand Pose Estimation paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the REN model in the Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the DeepPrior++ model in the DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation paper on the ICVL Hands dataset? | Average 3D Error, FPS |
What metrics were used to measure the HPRNet (Hourglass-104) model in the HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation paper on the COCO-WholeBody dataset? | keypoint AP |
What metrics were used to measure the HPRNet (DLA) model in the HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation paper on the COCO-WholeBody dataset? | keypoint AP |
What metrics were used to measure the A2J model in the A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image paper on the K2HPD dataset? | PDJ@5mm |
What metrics were used to measure the GLIPv2 model in the GLIPv2: Unifying Localization and Vision-Language Understanding paper on the Flickr30k Entities Test dataset? | R@1, R@10, R@5, Accuracy |
What metrics were used to measure the Fiber-B model in the Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone paper on the Flickr30k Entities Test dataset? | R@1, R@10, R@5, Accuracy |
What metrics were used to measure the GLIP model in the Grounded Language-Image Pre-training paper on the Flickr30k Entities Test dataset? | R@1, R@10, R@5, Accuracy |
What metrics were used to measure the PEVL model in the PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models paper on the Flickr30k Entities Test dataset? | R@1, R@10, R@5, Accuracy |
What metrics were used to measure the MDETR-ENB5 model in the MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding paper on the Flickr30k Entities Test dataset? | R@1, R@10, R@5, Accuracy |
What metrics were used to measure the DIGN model in the Disentangled Motif-aware Graph Learning for Phrase Grounding paper on the Flickr30k Entities Test dataset? | R@1, R@10, R@5, Accuracy |
What metrics were used to measure the LCMCG model in the Learning Cross-modal Context Graph for Visual Grounding paper on the Flickr30k Entities Test dataset? | R@1, R@10, R@5, Accuracy |
What metrics were used to measure the Soft-Label Chain CRF (SL-CCRF) model in the Phrase Grounding by Soft-Label Chain Conditional Random Field paper on the Flickr30k Entities Test dataset? | R@1, R@10, R@5, Accuracy |
What metrics were used to measure the DDPN (ResNet-101) model in the Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding paper on the Flickr30k Entities Test dataset? | R@1, R@10, R@5, Accuracy |
What metrics were used to measure the VisualBERT model in the VisualBERT: A Simple and Performant Baseline for Vision and Language paper on the Flickr30k Entities Test dataset? | R@1, R@10, R@5, Accuracy |
What metrics were used to measure the BAN (Bottom-Up detector) model in the Bilinear Attention Networks paper on the Flickr30k Entities Test dataset? | R@1, R@10, R@5, Accuracy |
What metrics were used to measure the GroundeR 100.0% annot. model in the Grounding of Textual Phrases in Images by Reconstruction paper on the Flickr30k Entities Test dataset? | R@1, R@10, R@5, Accuracy |
What metrics were used to measure the MCB model in the Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding paper on the Flickr30k Entities Test dataset? | R@1, R@10, R@5, Accuracy |
What metrics were used to measure the GbS VG model in the Detector-Free Weakly Supervised Grounding by Separation paper on the Visual Genome dataset? | Pointing Game Accuracy |
What metrics were used to measure the VG_ELMo_PNASNet model in the Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding paper on the Visual Genome dataset? | Pointing Game Accuracy |
What metrics were used to measure the GbS Ensemble MS-COCO model in the Detector-Free Weakly Supervised Grounding by Separation paper on the Visual Genome dataset? | Pointing Game Accuracy |
What metrics were used to measure the GBS Ensemble + 12-in-1 model in the Detector-Free Weakly Supervised Grounding by Separation paper on the Flickr30k dataset? | Pointing Game Accuracy |
What metrics were used to measure the GbS Ensemble MS-COCO model in the Detector-Free Weakly Supervised Grounding by Separation paper on the Flickr30k dataset? | Pointing Game Accuracy |
What metrics were used to measure the COCO_ELMo_PNASNet model in the Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding paper on the Flickr30k dataset? | Pointing Game Accuracy |
What metrics were used to measure the Fiber-B model in the Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone paper on the Flickr30k Entities Dev dataset? | R@1, R@10, R@5 |
What metrics were used to measure the PEVL model in the PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models paper on the Flickr30k Entities Dev dataset? | R@1, R@10, R@5 |
What metrics were used to measure the VisualBERT model in the VisualBERT: A Simple and Performant Baseline for Vision and Language paper on the Flickr30k Entities Dev dataset? | R@1, R@10, R@5 |
What metrics were used to measure the VG_BiLSTM_VGG model in the Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding paper on the ReferIt dataset? | Pointing Game Accuracy, Accuracy |
What metrics were used to measure the GbS Ensemble MS-COCO model in the Detector-Free Weakly Supervised Grounding by Separation paper on the ReferIt dataset? | Pointing Game Accuracy, Accuracy |
What metrics were used to measure the MCB model in the Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding paper on the ReferIt dataset? | Pointing Game Accuracy, Accuracy |
What metrics were used to measure the HAHSum model in the Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the MatchSum model in the Extractive Summarization as Text Matching paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the A2Summ model in the Align and Attend: Multimodal Summarization with Dual Contrastive Losses paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the NeRoBERTa model in the Considering Nested Tree Structure in Sentence Extractive Summarization with Pre-trained Transformer paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the BERT-ext + RL model in the Summary Level Training of Sentence Rewriting for Abstractive Summarization paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the PNBERT model in the Searching for Effective Neural Extractive Summarization: What Works and What's Next paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the HIBERT model in the HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the HER model in the Reading Like HER: Human Reading Inspired Extractive Summarization paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the NeuSUM model in the Neural Document Summarization by Jointly Learning to Score and Select Sentences paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the BanditSum model in the BanditSum: Extractive Summarization as a Contextual Bandit paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Latent model in the Neural Latent Extractive Document Summarization paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Lead-3 baseline model in the Get To The Point: Summarization with Pointer-Generator Networks paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the REFRESH model in the Ranking Sentences for Extractive Summarization with Reinforcement Learning paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the ITS model in the Iterative Document Representation Learning Towards Summarization with Polishing paper on the CNN / Daily Mail dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the MemSum (extractive) model in the MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes paper on the GovReport dataset? | Avg. Test Rouge1, Avg. Test Rouge2, Avg. Test RougeLsum |
What metrics were used to measure the HEPOS model in the Efficient Attention: Attention with Linear Complexities paper on the GovReport dataset? | Avg. Test Rouge1, Avg. Test Rouge2, Avg. Test RougeLsum |
What metrics were used to measure the Abs model in the A Neural Attention Model for Abstractive Sentence Summarization paper on the DUC 2004 Task 1 dataset? | ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Longformer-Base model in the DebateSum: A large-scale argument mining and summarization dataset paper on the DebateSum dataset? | ROUGE-L |
What metrics were used to measure the GPT2-Medium model in the DebateSum: A large-scale argument mining and summarization dataset paper on the DebateSum dataset? | ROUGE-L |
What metrics were used to measure the BERT-Large model in the DebateSum: A large-scale argument mining and summarization dataset paper on the DebateSum dataset? | ROUGE-L |
What metrics were used to measure the Pre-training-meets-Clustering-A-Hybrid-Extractive-Multi-Document-Summarization-Model model in the Pre-training Meets Clustering: A Hybrid Extractive Multi-document Summarization Model paper on the DUC 2004 dataset? | Test ROGUE-1, Test ROGUE-2 |
What metrics were used to measure the DASS-Detector (YOLOX XL) model in the Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings paper on the Manga109 dataset? | Average Precision |
What metrics were used to measure the DASS-Detector (YOLOX Tiny) model in the Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings paper on the Manga109 dataset? | Average Precision |
What metrics were used to measure the UniverseNet model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns test dataset? | AP/L2 |
What metrics were used to measure the DETReg (MDef-DETR) model in the Class-agnostic Object Detection with Multi-modal Transformer paper on the PASCAL VOC 10% dataset? | AP, AP50, AP75 |
What metrics were used to measure the DETReg (ours) model in the DETReg: Unsupervised Pretraining with Region Priors for Object Detection paper on the PASCAL VOC 10% dataset? | AP, AP50, AP75 |
What metrics were used to measure the GLIP-T model in the ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models paper on the ELEVATER dataset? | AP |
What metrics were used to measure the Vote3Deep model in the Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks paper on the KITTI Pedestrians Moderate dataset? | AP |
What metrics were used to measure the InternImage-H model in the InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions paper on the PASCAL VOC 2012 dataset? | MAP |
What metrics were used to measure the SSD512 (07+12+COCO) model in the SSD: Single Shot MultiBox Detector paper on the PASCAL VOC 2012 dataset? | MAP |
What metrics were used to measure the YOLO model in the You Only Look Once: Unified, Real-Time Object Detection paper on the PASCAL VOC 2012 dataset? | MAP |
What metrics were used to measure the SDS model in the Simultaneous Detection and Segmentation paper on the PASCAL VOC 2012 dataset? | MAP |
What metrics were used to measure the LRPCMP:a2+ model in the Towards Best Practice in Explaining Neural Network Decisions with LRP paper on the PASCAL VOC 2012 dataset? | MAP |
What metrics were used to measure the LRPCMP:a1+ model in the Towards Best Practice in Explaining Neural Network Decisions with LRP paper on the PASCAL VOC 2012 dataset? | MAP |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.