prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the HTC (HRNetV2p-W48) model in the Deep High-Resolution Representation Learning for Human Pose Estimation paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the HTC (HRNetV2p-W48) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the GCNet (ResNeXt-101 + DCN + cascade + GC r16) model in the GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the BoTNet 50 (72 epochs) model in the Bottleneck Transformers for Visual Recognition paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the R3-CNN (ResNet-50-FPN, DCN) model in the Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask R-CNN (ResNext-152, +1 NL) model in the Non-local Neural Networks paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask R-CNN-FPN (AOGNet-40M) model in the Attentive Normalization paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the R3-CNN (ResNet-50-FPN, GC-Net) model in the Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the CenterMask-VoVNetV2-99-3x model in the CenterMask : Real-Time Anchor-Free Instance Segmentation paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the R3-CNN (ResNet-50-FPN, GRoIE) model in the Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask Scoring R-CNN (ResNet-101-FPN-DCN) model in the Mask Scoring R-CNN paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask R-CNN-FPN (ResNeXt-101, GN+WS) model in the Micro-Batch Training with Batch-Channel Normalization and Weight Standardization paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the R3-CNN (ResNet-50-FPN) model in the Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the HTC (ResNet-50) model in the Hybrid Task Cascade for Instance Segmentation paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask Scoring R-CNN (ResNet-101 FPN) model in the Mask Scoring R-CNN paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the PANet (ResNet-50) model in the Path Aggregation Network for Instance Segmentation paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the GCnet (ResNet-50-FPN, GRoIE) model in the A novel Region of Interest Extraction Layer for Instance Segmentation paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask R-CNN (FPN, X-volution, SA) model in the X-volution: On the unification of convolution and self-attention paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask R-CNN (ResNet-101, +1 NL) model in the Non-local Neural Networks paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask Scoring R-CNN (ResNet-50 FPN) model in the Mask Scoring R-CNN paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask R-CNN (ResNet-50-FPN, GRoIE) model in the A novel Region of Interest Extraction Layer for Instance Segmentation paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Faster R-CNN (Res2Net-50) model in the Res2Net: A New Multi-scale Backbone Architecture paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask R-CNN (ResNet-50, +1 NL) model in the Non-local Neural Networks paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask R-CNN (ResNet-50, ACNet) model in the Adaptively Connected Neural Networks paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the YOLACT-550 (ResNet-50) model in the YOLACT: Real-time Instance Segmentation paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the InternImage-B model in the InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask Transfiner model in the Mask Transfiner for High-Quality Instance Segmentation paper on the BDD100K val dataset? | AP |
What metrics were used to measure the HRNet model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the BDD100K val dataset? | AP |
What metrics were used to measure the Mask R-CNN model in the Mask R-CNN paper on the BDD100K val dataset? | AP |
What metrics were used to measure the Cascade Mask R-CNN model in the Cascade R-CNN: High Quality Object Detection and Instance Segmentation paper on the BDD100K val dataset? | AP |
What metrics were used to measure the Swin-B + Cascade Mask R-CNN (tri-layer modelling) model in the A Tri-Layer Plugin to Improve Occluded Detection paper on the Separated COCO dataset? | Mean Recall |
What metrics were used to measure the Swin-B + Cascade Mask R-CNN model in the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows paper on the Separated COCO dataset? | Mean Recall |
What metrics were used to measure the Swin-S + Mask R-CNN (tri-layer plugin) model in the A Tri-Layer Plugin to Improve Occluded Detection paper on the Separated COCO dataset? | Mean Recall |
What metrics were used to measure the Swin-T + Mask R-CNN (tri-layer plugin) model in the A Tri-Layer Plugin to Improve Occluded Detection paper on the Separated COCO dataset? | Mean Recall |
What metrics were used to measure the Swin-S + Mask R-CNN model in the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows paper on the Separated COCO dataset? | Mean Recall |
What metrics were used to measure the Swin-T + Mask R-CNN model in the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows paper on the Separated COCO dataset? | Mean Recall |
What metrics were used to measure the Swin-B + Cascade Mask R-CNN (tri-layer modelling) model in the A Tri-Layer Plugin to Improve Occluded Detection paper on the Occluded COCO dataset? | Mean Recall |
What metrics were used to measure the Swin-B + Cascade Mask R-CNN model in the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows paper on the Occluded COCO dataset? | Mean Recall |
What metrics were used to measure the Swin-S + Mask R-CNN (tri-layer plugin) model in the A Tri-Layer Plugin to Improve Occluded Detection paper on the Occluded COCO dataset? | Mean Recall |
What metrics were used to measure the Swin-T + Mask R-CNN (tri-layer plugin) model in the A Tri-Layer Plugin to Improve Occluded Detection paper on the Occluded COCO dataset? | Mean Recall |
What metrics were used to measure the Swin-S + Mask R-CNN model in the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows paper on the Occluded COCO dataset? | Mean Recall |
What metrics were used to measure the Swin-T + Mask R-CNN model in the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows paper on the Occluded COCO dataset? | Mean Recall |
What metrics were used to measure the R50-FPN-MaskRCNN-TTA model in the 1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask paper on the LVIS v1.0 test-dev dataset? | mask AP |
What metrics were used to measure the RED model in the Learning to Detect Objects with a 1 Megapixel Event Camera paper on the 1 Megapixel Automotive Detection Dataset dataset? | mAP |
What metrics were used to measure the VGT model in the Vision Grid Transformer for Document Layout Analysis paper on the PubLayNet val dataset? | Overall, Text, Title, List, Table, Figure |
What metrics were used to measure the VSR model in the VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations paper on the PubLayNet val dataset? | Overall, Text, Title, List, Table, Figure |
What metrics were used to measure the DETR model in the Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images paper on the PubLayNet val dataset? | Overall, Text, Title, List, Table, Figure |
What metrics were used to measure the LayoutLMv3 model in the LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking paper on the PubLayNet val dataset? | Overall, Text, Title, List, Table, Figure |
What metrics were used to measure the DiT-L model in the DiT: Self-supervised Pre-training for Document Image Transformer paper on the PubLayNet val dataset? | Overall, Text, Title, List, Table, Figure |
What metrics were used to measure the UDoc model in the Unified Pretraining Framework for Document Understanding paper on the PubLayNet val dataset? | Overall, Text, Title, List, Table, Figure |
What metrics were used to measure the ResNext-101-32×8d model in the Vision Grid Transformer for Document Layout Analysis paper on the PubLayNet val dataset? | Overall, Text, Title, List, Table, Figure |
What metrics were used to measure the DeiT-B model in the Training data-efficient image transformers & distillation through attention paper on the PubLayNet val dataset? | Overall, Text, Title, List, Table, Figure |
What metrics were used to measure the BEiT-B model in the BEiT: BERT Pre-Training of Image Transformers paper on the PubLayNet val dataset? | Overall, Text, Title, List, Table, Figure |
What metrics were used to measure the Mask RCNN model in the PubLayNet: largest dataset ever for document layout analysis paper on the PubLayNet val dataset? | Overall, Text, Title, List, Table, Figure |
What metrics were used to measure the Faster RCNN model in the PubLayNet: largest dataset ever for document layout analysis paper on the PubLayNet val dataset? | Overall, Text, Title, List, Table, Figure |
What metrics were used to measure the CDeC-Net model in the CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images paper on the PubLayNet val dataset? | Overall, Text, Title, List, Table, Figure |
What metrics were used to measure the fglihai model in the paper on the Document Layout Recognition Challenge mini-dev dataset? | Overall, Title, Text, Figure, Table, List |
What metrics were used to measure the Faster_RCNN model in the paper on the Document Layout Recognition Challenge mini-dev dataset? | Overall, Title, Text, Figure, Table, List |
What metrics were used to measure the Faster-RCNN model in the paper on the Document Layout Recognition Challenge mini-dev dataset? | Overall, Title, Text, Figure, Table, List |
What metrics were used to measure the fglihai model in the paper on the Document Layout Recognition Challenge test dataset? | Overall, Title, Text, Figure, Table, List |
What metrics were used to measure the USYD NLP_CS29-2 model in the paper on the Document Layout Recognition Challenge test dataset? | Overall, Title, Text, Figure, Table, List |
What metrics were used to measure the Faster-RCNN model in the paper on the Document Layout Recognition Challenge test dataset? | Overall, Title, Text, Figure, Table, List |
What metrics were used to measure the VisualWordGrid model in the VisualWordGrid: Information Extraction From Scanned Documents Using A Multimodal Approach paper on the RVL-CDIP dataset? | FAR, WAR |
What metrics were used to measure the DetTrack model in the Combining detection and tracking for human pose estimation in videos paper on the PoseTrack2018 dataset? | MOTA, mAP, IDF1, IDs |
What metrics were used to measure the UniTrack model in the Do Different Tracking Tasks Require Different Appearance Models? paper on the PoseTrack2018 dataset? | MOTA, mAP, IDF1, IDs |
What metrics were used to measure the 4DHumans + ViTDet model in the Humans in 4D: Reconstructing and Tracking Humans with Transformers paper on the PoseTrack2018 dataset? | MOTA, mAP, IDF1, IDs |
What metrics were used to measure the MSRA model in the Simple Baselines for Human Pose Estimation and Tracking paper on the PoseTrack2018 dataset? | MOTA, mAP, IDF1, IDs |
What metrics were used to measure the TML++ (MIPAL) model in the Pose estimator and tracker using temporal flow maps for limbs paper on the PoseTrack2018 dataset? | MOTA, mAP, IDF1, IDs |
What metrics were used to measure the DetTrack model in the Combining detection and tracking for human pose estimation in videos paper on the PoseTrack2017 dataset? | MOTA, mAP |
What metrics were used to measure the KeyTrack model in the 15 Keypoints Is All You Need paper on the PoseTrack2017 dataset? | MOTA, mAP |
What metrics were used to measure the LightTrack model in the LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking paper on the PoseTrack2017 dataset? | MOTA, mAP |
What metrics were used to measure the HRNet-W48 COCO model in the Deep High-Resolution Representation Learning for Human Pose Estimation paper on the PoseTrack2017 dataset? | MOTA, mAP |
What metrics were used to measure the MSRA (FlowTrack) model in the Simple Baselines for Human Pose Estimation and Tracking paper on the PoseTrack2017 dataset? | MOTA, mAP |
What metrics were used to measure the TML++ (MIPAL) model in the Pose estimator and tracker using temporal flow maps for limbs paper on the PoseTrack2017 dataset? | MOTA, mAP |
What metrics were used to measure the STAF model in the Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields paper on the PoseTrack2017 dataset? | MOTA, mAP |
What metrics were used to measure the ProTracker model in the Detect-and-Track: Efficient Pose Estimation in Videos paper on the PoseTrack2017 dataset? | MOTA, mAP |
What metrics were used to measure the PoseFlow model in the Pose Flow: Efficient Online Pose Tracking paper on the PoseTrack2017 dataset? | MOTA, mAP |
What metrics were used to measure the PoseTrack model in the PoseTrack: A Benchmark for Human Pose Estimation and Tracking paper on the PoseTrack2017 dataset? | MOTA, mAP |
What metrics were used to measure the PoseTrack model in the PoseTrack: Joint Multi-Person Pose Estimation and Tracking paper on the Multi-Person PoseTrack dataset? | MOTA, MOTP |
What metrics were used to measure the reg-cartesian model in the Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks paper on the SOFA dataset? | Angular Error |
What metrics were used to measure the g2pW model in the g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in Mandarin paper on the CPP dataset? | Accuracy |
What metrics were used to measure the g2pM (BERT) model in the g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset paper on the CPP dataset? | Accuracy |
What metrics were used to measure the g2pM (BiLSTM) model in the g2pM: A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset paper on the CPP dataset? | Accuracy |
What metrics were used to measure the LSeg model in the Language-driven Semantic Segmentation paper on the FSS-1000 dataset? | Mean IoU |
What metrics were used to measure the DoG-BConvLSTM model in the On the Texture Bias for Few-Shot CNN Segmentation paper on the FSS-1000 dataset? | Mean IoU |
What metrics were used to measure the EfficientLab model in the Meta-Learning Initializations for Image Segmentation paper on the FSS-1000 dataset? | Mean IoU |
What metrics were used to measure the PGMA-Net (ResNet-101) model in the Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
What metrics were used to measure the SegGPT (ViT) model in the SegGPT: Segmenting Everything In Context paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
What metrics were used to measure the PGMA-Net (ResNet-50) model in the Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
What metrics were used to measure the DCAMA (Swin-B) model in the Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
What metrics were used to measure the MSANet (ResNet-101) model in the MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
What metrics were used to measure the HDMNet (ResNet-50) model in the Hierarchical Dense Correlation Distillation for Few-Shot Segmentation paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
What metrics were used to measure the VAT + MSI (ResNet-101) model in the MSI: Maximize Support-Set Information for Few-Shot Segmentation paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
What metrics were used to measure the BAM (SVF, ResNet-50) model in the Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
What metrics were used to measure the SCCAN (ResNet-101) model in the Self-Calibrated Cross Attention Network for Few-Shot Segmentation paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
What metrics were used to measure the PFENet (SVF, ResNet-50) model in the Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
What metrics were used to measure the MIANet (ResNet-50) model in the MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
What metrics were used to measure the ProtoFormer (ResNet-101) model in the Prototype as Query for Few Shot Semantic Segmentation paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
What metrics were used to measure the FPTrans (DeiT-B/16) model in the Feature-Proxy Transformer for Few-Shot Segmentation paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
What metrics were used to measure the IPRNet (ResNet-101) model in the Interclass Prototype Relation for Few-Shot Segmentation paper on the COCO-20i (1-shot) dataset? | Mean IoU, FB-IoU |
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