prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the CenterNet(DLA34, Flip, 512x512) model in the Objects as Points paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the PS-KD (ResNet-152, CutMix) model in the Self-Knowledge Distillation with Progressive Refinement of Targets paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the DPNet model in the DPNet: Dual-Path Network for Real-time Object Detection with Lightweight Attention paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the OHEM model in the Training Region-based Object Detectors with Online Hard Example Mining paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the YOLO v2 model in the YOLO9000: Better, Faster, Stronger paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the ThunderNet SNet535 Backbone model in the ThunderNet: Towards Real-time Generic Object Detection paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the DeNet-101 (skip) model in the DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the I+ORE model in the Random Erasing Data Augmentation paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the Perona Malik (Perona and Malik, 1990) model in the Learning Visual Representations for Transfer Learning by Suppressing Texture paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the FRCN model in the A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the Faster R-CNN model in the Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the VGG-16 + KL Loss + var voting + soft-NMS model in the Bounding Box Regression with Uncertainty for Accurate Object Detection paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the Fast R-CNN model in the Fast R-CNN paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the subCNN model in the Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
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 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the SPP(combination) model in the Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the R-CNN model in the Rich feature hierarchies for accurate object detection and semantic segmentation paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the Deformable Parts Model (DeepPyramid) model in the Deformable Part Models are Convolutional Neural Networks paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the TinyissimoYOLO-v8 model in the Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the FemotoDet model in the FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the YOLOv7+Inner-IoU model in the Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the MOAT-3 22K+1K model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO dataset? | box AP, GFlops |
What metrics were used to measure the MOAT-2 model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO dataset? | box AP, GFlops |
What metrics were used to measure the REGO-Deformable DETR-X101 model in the Recurrent Glimpse-based Decoder for Detection with Transformer paper on the COCO dataset? | box AP, GFlops |
What metrics were used to measure the PRB-FPN model in the Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection paper on the UAVDT dataset? | mAP |
What metrics were used to measure the FFAVOD-SpotNet with U-Net model in the FFAVOD: Feature Fusion Architecture for Video Object Detection paper on the UAVDT dataset? | mAP |
What metrics were used to measure the SpotNet model in the SpotNet: Self-Attention Multi-Task Network for Object Detection paper on the UAVDT dataset? | mAP |
What metrics were used to measure the RN-VID model in the RN-VID: A Feature Fusion Architecture for Video Object Detection paper on the UAVDT dataset? | mAP |
What metrics were used to measure the R-FCN model in the The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking paper on the UAVDT dataset? | mAP |
What metrics were used to measure the SSD model in the The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking paper on the UAVDT dataset? | mAP |
What metrics were used to measure the Faster-RCNN model in the The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking paper on the UAVDT dataset? | mAP |
What metrics were used to measure the RON model in the The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking paper on the UAVDT dataset? | mAP |
What metrics were used to measure the SSOD + Crop (L + U) model in the Density Crop-guided Semi-supervised Object Detection in Aerial Images paper on the VisDrone- 1% labeled data dataset? | COCO-style AP |
What metrics were used to measure the PVT (Pyramid Vision Transformer; trained on PeopleArt and PopArt) model in the Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art History paper on the PeopleArt dataset? | mAP, mAP@0.5, mAP@0.75 |
What metrics were used to measure the TOOD (Task-aligned One-stage Object Detection; trained on PeopleArt and PoPArt) model in the Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art History paper on the PeopleArt dataset? | mAP, mAP@0.5, mAP@0.75 |
What metrics were used to measure the PVT (Pyramid Vision Transformer) model in the Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art History paper on the PeopleArt dataset? | mAP, mAP@0.5, mAP@0.75 |
What metrics were used to measure the TOOD (Task-aligned One-stage Object Detection) model in the Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art History paper on the PeopleArt dataset? | mAP, mAP@0.5, mAP@0.75 |
What metrics were used to measure the FasterRCNN (trained on StyleCOCO) model in the Improving Object Detection in Art Images Using Only Style Transfer paper on the PeopleArt dataset? | mAP, mAP@0.5, mAP@0.75 |
What metrics were used to measure the Fast R-CNN model in the Detecting People in Artwork with CNNs paper on the PeopleArt dataset? | mAP, mAP@0.5, mAP@0.75 |
What metrics were used to measure the RoBERTa model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the NICE-2 dataset? | Accuracy |
What metrics were used to measure the XLNet model in the XLNet: Generalized Autoregressive Pretraining for Language Understanding paper on the Amazon-5 dataset? | Error |
What metrics were used to measure the ULMFiT (Small data) model in the Sampling Bias in Deep Active Classification: An Empirical Study paper on the Amazon-5 dataset? | Error |
What metrics were used to measure the BERT Finetune + UDA model in the Unsupervised Data Augmentation for Consistency Training paper on the Amazon-5 dataset? | Error |
What metrics were used to measure the BigBird model in the Big Bird: Transformers for Longer Sequences paper on the arXiv dataset? | Accuracy |
What metrics were used to measure the CNN + CRF model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the MVICTOR (type) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the BiLSTM model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the MVICTOR (type) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the CNN model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the MVICTOR (type) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the SVM model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the MVICTOR (type) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the NB model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the MVICTOR (type) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the XLNet model in the XLNet: Generalized Autoregressive Pretraining for Language Understanding paper on the Yelp-2 dataset? | Accuracy |
What metrics were used to measure the BERT-ITPT-FiT model in the How to Fine-Tune BERT for Text Classification? paper on the Yelp-2 dataset? | Accuracy |
What metrics were used to measure the BERT Finetune + UDA model in the Unsupervised Data Augmentation for Consistency Training paper on the Yelp-2 dataset? | Accuracy |
What metrics were used to measure the ULMFiT (Small data) model in the Sampling Bias in Deep Active Classification: An Empirical Study paper on the Yelp-2 dataset? | Accuracy |
What metrics were used to measure the DistilBERT model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the Searchsnippets dataset? | Accuracy |
What metrics were used to measure the BERT model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the Searchsnippets dataset? | Accuracy |
What metrics were used to measure the BERT model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the TREC-10 dataset? | Accuracy |
What metrics were used to measure the DeBERTa model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the STOPS-41 dataset? | Accuracy |
What metrics were used to measure the Human (Post-Rec.) (Spangher et al., 2021) model in the Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification paper on the NewsDiscourse dataset? | macro F1 |
What metrics were used to measure the MT-Mac (Spangher et al., 2021) model in the Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification paper on the NewsDiscourse dataset? | macro F1 |
What metrics were used to measure the MT-Mic (Spangher et al., 2021) model in the Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification paper on the NewsDiscourse dataset? | macro F1 |
What metrics were used to measure the RL-IP/TT (Choubey et al., 2021) model in the Profiling News Discourse Structure Using Explicit Subtopic Structures Guided Critics paper on the NewsDiscourse dataset? | macro F1 |
What metrics were used to measure the Document LSTM + Document encoding (Choubey et al., 2020) model in the Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event paper on the NewsDiscourse dataset? | macro F1 |
What metrics were used to measure the CRF Fine-grained (Choubey et al., 2020) model in the Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event paper on the NewsDiscourse dataset? | macro F1 |
What metrics were used to measure the Human (Blind) (Spangher et al., 2021) model in the Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification paper on the NewsDiscourse dataset? | macro F1 |
What metrics were used to measure the Feature-based (SVM) (Choubey et al., 2020) model in the Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event paper on the NewsDiscourse dataset? | macro F1 |
What metrics were used to measure the Naive Bayes using Tf-idf features model in the An Amharic News Text classification Dataset paper on the An Amharic News Text classification Dataset dataset? | Accuracy |
What metrics were used to measure the Naive Bayes using count vectorizer features model in the An Amharic News Text classification Dataset paper on the An Amharic News Text classification Dataset dataset? | Accuracy |
What metrics were used to measure the RoBERTaGCN model in the BertGCN: Transductive Text Classification by Combining GCN and BERT paper on the 20 Newsgroups dataset? | Accuracy |
What metrics were used to measure the 1-6 BertGCN model in the BertGCN: Transductive Text Classification by Combining GCN and BERT paper on the R52 dataset? | Accuracy |
What metrics were used to measure the GraphStar model in the Graph Star Net for Generalized Multi-Task Learning paper on the R52 dataset? | Accuracy |
What metrics were used to measure the Our Model* model in the Text Level Graph Neural Network for Text Classification paper on the R52 dataset? | Accuracy |
What metrics were used to measure the SSGC model in the Simple Spectral Graph Convolution paper on the R52 dataset? | Accuracy |
What metrics were used to measure the SGC model in the Simplifying Graph Convolutional Networks paper on the R52 dataset? | Accuracy |
What metrics were used to measure the SGCN model in the Simplifying Graph Convolutional Networks paper on the R52 dataset? | Accuracy |
What metrics were used to measure the Text GCN model in the Graph Convolutional Networks for Text Classification paper on the R52 dataset? | Accuracy |
What metrics were used to measure the TM-Glove model in the Enhancing Interpretable Clauses Semantically using Pretrained Word Representation paper on the R52 dataset? | Accuracy |
What metrics were used to measure the Custom Legal-BERT model in the When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset paper on the Overruling dataset? | F1(10-fold) |
What metrics were used to measure the Legal-BERT model in the When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset paper on the Overruling dataset? | F1(10-fold) |
What metrics were used to measure the BERT model in the When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset paper on the Overruling dataset? | F1(10-fold) |
What metrics were used to measure the CNN + CRF model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the SVICTOR (type) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the SVM model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the SVICTOR (type) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the CNN model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the SVICTOR (type) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the BiLSTM model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the SVICTOR (type) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the NB model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the SVICTOR (type) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the Logistic Regression model in the Anytime Active Learning paper on the IMDb Movie Reviews dataset? | AUC |
What metrics were used to measure the BigBird model in the Big Bird: Transformers for Longer Sequences paper on the Patents dataset? | Accuracy |
What metrics were used to measure the Flair model in the MWO2KG and Echidna: Constructing and exploring knowledge graphs from maintenance data paper on the FMC-MWO2KG dataset? | Macro F1, Micro F1 |
What metrics were used to measure the Rules model in the High Accuracy Rule-based Question Classification using Question Syntax and Semantics paper on the TREC-50 dataset? | Error |
What metrics were used to measure the SVM model in the Improving Question Classification by Feature Extraction and Selection paper on the TREC-50 dataset? | Error |
What metrics were used to measure the ERNIE 2.0 model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the Twitter dataset? | Accuracy |
What metrics were used to measure the BERT model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the Twitter dataset? | Accuracy |
What metrics were used to measure the DistilBERT model in the Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets paper on the Twitter dataset? | Accuracy |
What metrics were used to measure the BERT model in the BERT of all trades, master of some paper on the TRAC2-Benghali. Task 2. dataset? | F1 |
What metrics were used to measure the XLNet model in the XLNet: Generalized Autoregressive Pretraining for Language Understanding paper on the Amazon-2 dataset? | Error |
What metrics were used to measure the BERT Finetune + UDA model in the Unsupervised Data Augmentation for Consistency Training paper on the Amazon-2 dataset? | Error |
What metrics were used to measure the ULMFiT (Small data) model in the Sampling Bias in Deep Active Classification: An Empirical Study paper on the Amazon-2 dataset? | Error |
What metrics were used to measure the LHTR model in the Heavy-tailed Representations, Text Polarity Classification & Data Augmentation paper on the Amazon-2 dataset? | Error |
What metrics were used to measure the Pretrained Hierarchical Transformer model in the Hierarchical Pre-training for Sequence Labelling in Spoken Dialog paper on the SILICONE Benchmark dataset? | 1:1 Accuracy |
What metrics were used to measure the USE_T+CNN model in the Universal Sentence Encoder paper on the TREC-6 dataset? | Error |
What metrics were used to measure the RoBERTa+DualCL model in the Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation paper on the TREC-6 dataset? | Error |
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