prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the vgg8 (T:vgg13 S:vgg8) model in the Distilling the Knowledge in a Neural Network paper on the CIFAR-100 dataset? | Top-1 Accuracy (%) |
What metrics were used to measure the KD++(T:resnet56, S:resnet20) model in the Improving Knowledge Distillation via Regularizing Feature Norm and Direction paper on the CIFAR-100 dataset? | Top-1 Accuracy (%) |
What metrics were used to measure the resnet110 (T:resnet110 S:resnet20) model in the Information Theoretic Representation Distillation paper on the CIFAR-100 dataset? | Top-1 Accuracy (%) |
What metrics were used to measure the resnet110 (T:resnet110 S:resnet20) model in the Wasserstein Contrastive Representation Distillation paper on the CIFAR-100 dataset? | Top-1 Accuracy (%) |
What metrics were used to measure the resnet110 (T:resnet110 S:resnet20) model in the Contrastive Representation Distillation paper on the CIFAR-100 dataset? | Top-1 Accuracy (%) |
What metrics were used to measure the DKD++(T:resnet50, S:mobilenetv2) model in the Improving Knowledge Distillation via Regularizing Feature Norm and Direction paper on the CIFAR-100 dataset? | Top-1 Accuracy (%) |
What metrics were used to measure the resnet110 (T:resnet110 S:resnet20) model in the Distilling the Knowledge in a Neural Network paper on the CIFAR-100 dataset? | Top-1 Accuracy (%) |
What metrics were used to measure the EGCN model in the EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment paper on the UI-PRMD dataset? | Prediction Accuracy |
What metrics were used to measure the EGCN model in the EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment paper on the EHE dataset? | Prediction Accuracy |
What metrics were used to measure the 2T-GCN model in the Skeleton-based human action evaluation using graph convolutional network for monitoring Alzheimer’s progression paper on the EHE dataset? | Prediction Accuracy |
What metrics were used to measure the EGCN model in the EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment paper on the KIMORE dataset? | Prediction Accuracy |
What metrics were used to measure the BERT model in the Diacritics Restoration using BERT with Analysis on Czech language paper on the Multilingual Dataset for Training and Evaluating Diacritics Restoration Systems dataset? | Alpha-Word accuracy |
What metrics were used to measure the RNN + LM model in the Diacritics Restoration Using Neural Networks paper on the Multilingual Dataset for Training and Evaluating Diacritics Restoration Systems dataset? | Alpha-Word accuracy |
What metrics were used to measure the RNN model in the Diacritics Restoration Using Neural Networks paper on the Multilingual Dataset for Training and Evaluating Diacritics Restoration Systems dataset? | Alpha-Word accuracy |
What metrics were used to measure the Moment-DETR model in the VidChapters-7M: Video Chapters at Scale paper on the VidChapters-7M dataset? | R@10s |
What metrics were used to measure the ROVER model in the CrowdSpeech and VoxDIY: Benchmark Datasets for Crowdsourced Audio Transcription paper on the CrowdSpeech test-clean dataset? | Word Error Rate (WER) |
What metrics were used to measure the HRRASA model in the CrowdSpeech and VoxDIY: Benchmark Datasets for Crowdsourced Audio Transcription paper on the CrowdSpeech test-clean dataset? | Word Error Rate (WER) |
What metrics were used to measure the RASA model in the CrowdSpeech and VoxDIY: Benchmark Datasets for Crowdsourced Audio Transcription paper on the CrowdSpeech test-clean dataset? | Word Error Rate (WER) |
What metrics were used to measure the ROVER model in the CrowdSpeech and VoxDIY: Benchmark Datasets for Crowdsourced Audio Transcription paper on the CrowdSpeech test-other dataset? | Word Error Rate (WER) |
What metrics were used to measure the HRRASA model in the CrowdSpeech and VoxDIY: Benchmark Datasets for Crowdsourced Audio Transcription paper on the CrowdSpeech test-other dataset? | Word Error Rate (WER) |
What metrics were used to measure the RASA model in the CrowdSpeech and VoxDIY: Benchmark Datasets for Crowdsourced Audio Transcription paper on the CrowdSpeech test-other dataset? | Word Error Rate (WER) |
What metrics were used to measure the LightGBM model in the High Performance of Gradient Boosting in Binding Affinity Prediction paper on the CSAR-HiQ dataset? | RMSE |
What metrics were used to measure the PAMNet model in the A universal framework for accurate and efficient geometric deep learning of molecular systems paper on the PDBbind dataset? | RMSE |
What metrics were used to measure the LightGBM model in the High Performance of Gradient Boosting in Binding Affinity Prediction paper on the PDBbind dataset? | RMSE |
What metrics were used to measure the SIGN model in the Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity paper on the PDBbind dataset? | RMSE |
What metrics were used to measure the DimeNet model in the Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity paper on the PDBbind dataset? | RMSE |
What metrics were used to measure the GraphDTA model in the Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity paper on the PDBbind dataset? | RMSE |
What metrics were used to measure the mm model in the Adversarial Learning for Neural Dialogue Generation paper on the Amazon-5 dataset? | 1 in 10 R@2 |
What metrics were used to measure the MrRNN Act.-Ent. model in the Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation paper on the Ubuntu Dialogue (Activity) dataset? | F1, Precision, Recall |
What metrics were used to measure the MrRNN Act.-Ent. model in the Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation paper on the Ubuntu Dialogue (Entity) dataset? | F1, Precision, Recall |
What metrics were used to measure the SpaceFusion model in the Jointly Optimizing Diversity and Relevance in Neural Response Generation paper on the Reddit (multi-ref) dataset? | interest (human), relevance (human) |
What metrics were used to measure the EVA model in the Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters paper on the Harry Potter Dialogue Dataset dataset? | mauve |
What metrics were used to measure the Per-BOB model in the Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters paper on the Harry Potter Dialogue Dataset dataset? | mauve |
What metrics were used to measure the MrRNN Act.-Ent. model in the Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation paper on the Ubuntu Dialogue (Cmd) dataset? | Accuracy |
What metrics were used to measure the MrRNN Act.-Ent. model in the Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation paper on the Twitter Dialogue (Tense) dataset? | Accuracy |
What metrics were used to measure the ∞-former (Sticky memories) model in the $\infty$-former: Infinite Memory Transformer paper on the CMU-DoG dataset? | F1, Meteor, ROUGE-1, Rouge-L |
What metrics were used to measure the ∞-former (Sticky memories + initialized GPT-2 Small) model in the $\infty$-former: Infinite Memory Transformer paper on the PG-19 dataset? | Perplexity |
What metrics were used to measure the Classification-based model model in the Fusing task-oriented and open-domain dialogues in conversational agents paper on the FusedChat dataset? | Slot Accuracy, Joint SA, Inform, Inform_mct, Success, Success_mct, BLEU, PPL, Sensibleness, Specificity, SSA |
What metrics were used to measure the Two-in-one model model in the Fusing task-oriented and open-domain dialogues in conversational agents paper on the FusedChat dataset? | Slot Accuracy, Joint SA, Inform, Inform_mct, Success, Success_mct, BLEU, PPL, Sensibleness, Specificity, SSA |
What metrics were used to measure the LMEDR model in the Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues paper on the Persona-Chat dataset? | Avg F1, BLEU-1, CIDr, METEOR, ROUGE-L |
What metrics were used to measure the P^2 Bot model in the You Impress Me: Dialogue Generation via Mutual Persona Perception paper on the Persona-Chat dataset? | Avg F1, BLEU-1, CIDr, METEOR, ROUGE-L |
What metrics were used to measure the TransferTransfo model in the TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents paper on the Persona-Chat dataset? | Avg F1, BLEU-1, CIDr, METEOR, ROUGE-L |
What metrics were used to measure the Seq2Seq + Attention model in the Neural Machine Translation by Jointly Learning to Align and Translate paper on the Persona-Chat dataset? | Avg F1, BLEU-1, CIDr, METEOR, ROUGE-L |
What metrics were used to measure the KV Profile Memory model in the Personalizing Dialogue Agents: I have a dog, do you have pets too? paper on the Persona-Chat dataset? | Avg F1, BLEU-1, CIDr, METEOR, ROUGE-L |
What metrics were used to measure the Synthesizer (R+V) model in the Synthesizer: Rethinking Self-Attention in Transformer Models paper on the Persona-Chat dataset? | Avg F1, BLEU-1, CIDr, METEOR, ROUGE-L |
What metrics were used to measure the MrRNN Act.-Ent. model in the Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation paper on the Twitter Dialogue (Noun) dataset? | F1, Precision, Recall |
What metrics were used to measure the MrRNN Act.-Ent. model in the Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation paper on the Ubuntu Dialogue (Tense) dataset? | Accuracy |
What metrics were used to measure the Transform3D model in the Detection of 3D Bounding Boxes of Vehicles Using Perspective Transformation for Accurate Speed Measurement paper on the BrnoCompSpeed dataset? | Mean Speed Measurement Error (km/h), Median Speed Measurement Error (km/h), 95-th Percentile Speed Measurement Error (km/h), 99-th Percentile Speed Measurement Error (km/h) |
What metrics were used to measure the Transform2D model in the Perspective transformation for accurate detection of 3D bounding boxes of vehicles in traffic surveillance paper on the BrnoCompSpeed dataset? | Mean Speed Measurement Error (km/h), Median Speed Measurement Error (km/h), 95-th Percentile Speed Measurement Error (km/h), 99-th Percentile Speed Measurement Error (km/h) |
What metrics were used to measure the Transform3D model in the Perspective transformation for accurate detection of 3D bounding boxes of vehicles in traffic surveillance paper on the BrnoCompSpeed dataset? | Mean Speed Measurement Error (km/h), Median Speed Measurement Error (km/h), 95-th Percentile Speed Measurement Error (km/h), 99-th Percentile Speed Measurement Error (km/h) |
What metrics were used to measure the Edgelets + BBScale + reg model in the Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement paper on the BrnoCompSpeed dataset? | Mean Speed Measurement Error (km/h), Median Speed Measurement Error (km/h), 95-th Percentile Speed Measurement Error (km/h), 99-th Percentile Speed Measurement Error (km/h) |
What metrics were used to measure the TempoRadar model in the Exploiting Temporal Relations on Radar Perception for Autonomous Driving paper on the RADIATE dataset? | MOTA |
What metrics were used to measure the PP-Tracking model in the PP-YOLOE: An evolved version of YOLO paper on the CroHD dataset? | MOTA, IDEucl, IDF1, IDs, ML, MT, HOTA |
What metrics were used to measure the OC-SORT model in the Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking paper on the CroHD dataset? | MOTA, IDEucl, IDF1, IDs, ML, MT, HOTA |
What metrics were used to measure the HeadHunter-T model in the Tracking Pedestrian Heads in Dense Crowd paper on the CroHD dataset? | MOTA, IDEucl, IDF1, IDs, ML, MT, HOTA |
What metrics were used to measure the Tracktor model in the Tracking Pedestrian Heads in Dense Crowd paper on the CroHD dataset? | MOTA, IDEucl, IDF1, IDs, ML, MT, HOTA |
What metrics were used to measure the SORT model in the Tracking Pedestrian Heads in Dense Crowd paper on the CroHD dataset? | MOTA, IDEucl, IDF1, IDs, ML, MT, HOTA |
What metrics were used to measure the Deep-EIoU model in the Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the MixSort-OC model in the SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the OC-SORT model in the Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the MeMOTR (Deformable-DETR) model in the MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the MixSort-Byte model in the SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the ByteTrack model in the ByteTrack: Multi-Object Tracking by Associating Every Detection Box paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the CenterTrack model in the Tracking Objects as Points paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the QDTrack model in the Quasi-Dense Similarity Learning for Multiple Object Tracking paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the FairMOT model in the FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking paper on the SportsMOT dataset? | HOTA, IDF1, AssA, MOTA, DetA |
What metrics were used to measure the QDTrack model in the Quasi-Dense Similarity Learning for Multiple Object Tracking paper on the Waymo Open Dataset dataset? | Category, MOTA, mAP |
What metrics were used to measure the RetinaTrack model in the RetinaTrack: Online Single Stage Joint Detection and Tracking paper on the Waymo Open Dataset dataset? | Category, MOTA, mAP |
What metrics were used to measure the HandLer model in the Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild paper on the YouTube-Hands dataset? | MOTA, HOTA |
What metrics were used to measure the ByteTrack model in the ByteTrack: Multi-Object Tracking by Associating Every Detection Box paper on the BDD100K val dataset? | mMOTA, mIDF1 |
What metrics were used to measure the UNINEXT-H model in the Universal Instance Perception as Object Discovery and Retrieval paper on the BDD100K val dataset? | mMOTA, mIDF1 |
What metrics were used to measure the MOTRv2 model in the MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors paper on the BDD100K val dataset? | mMOTA, mIDF1 |
What metrics were used to measure the QDTrack model in the QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking paper on the BDD100K val dataset? | mMOTA, mIDF1 |
What metrics were used to measure the Unicorn model in the Towards Grand Unification of Object Tracking paper on the BDD100K val dataset? | mMOTA, mIDF1 |
What metrics were used to measure the TETer model in the Tracking Every Thing in the Wild paper on the BDD100K val dataset? | mMOTA, mIDF1 |
What metrics were used to measure the QDTrack model in the Quasi-Dense Similarity Learning for Multiple Object Tracking paper on the BDD100K val dataset? | mMOTA, mIDF1 |
What metrics were used to measure the Adaptive-searching -windows Tracker model in the Tackling multiple object tracking with complicated motions—Re-designing the integration of motion and appearance paper on the BDD100K val dataset? | mMOTA, mIDF1 |
What metrics were used to measure the OC-SORT model in the Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the SRK ODESA model in the Learning Local Feature Descriptors for Multiple Object Tracking paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the CenterTrack model in the Tracking Objects as Points paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the DEFT model in the DEFT: Detection Embeddings for Tracking paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the EagerMOT model in the EagerMOT: 3D Multi-Object Tracking via Sensor Fusion paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the QD-3DT model in the Monocular Quasi-Dense 3D Object Tracking paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the JRMOT model in the JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the MOSTFusion model in the MOTS: Multi-Object Tracking and Segmentation paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the mmMOT-normal model in the Robust Multi-Modality Multi-Object Tracking paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the mmMOT model in the Robust Multi-Modality Multi-Object Tracking paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the 3DT model in the Joint Monocular 3D Vehicle Detection and Tracking paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the Mono3DT model in the Joint Monocular 3D Vehicle Detection and Tracking paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the RRC-IIITH model in the Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the AB3DMOT model in the 3D Multi-Object Tracking: A Baseline and New Evaluation Metrics paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the PMBM model in the Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the MCMOT-CPD model in the Multi-Class Multi-Object Tracking using Changing Point Detection paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the NOMT model in the Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the MDP model in the Learning to Track: Online Multi-Object Tracking by Decision Making paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the DSM model in the End-to-end Learning of Multi-sensor 3D Tracking by Detection paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the SCEA model in the Online Multi-Object Tracking via Structural Constraint Event Aggregation paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the CIWT model in the Combined Image- and World-Space Tracking in Traffic Scenes paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the NOMT-HM model in the Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor paper on the KITTI Tracking test dataset? | MOTA, HOTA |
What metrics were used to measure the mbodSSP model in the FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation paper on the KITTI Tracking test dataset? | MOTA, HOTA |
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