prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the ResNet-200 (Fast AA) model in the Fast AutoAugment paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the ResNet-200 (UA) model in the UniformAugment: A Search-free Probabilistic Data Augmentation Approach paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the ResNet-200 (AA) model in the AutoAugment: Learning Augmentation Policies from Data paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the ResNet-50 (DeepAA) model in the Deep AutoAugment paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the ResNet-50 (TA wide) model in the TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the ResNet-50 (LoRot-E) model in the Tailoring Self-Supervision for Supervised Learning paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the ResNet-50 (LoRot-I) model in the Tailoring Self-Supervision for Supervised Learning paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the ResNet-50 (UA) model in the UniformAugment: A Search-free Probabilistic Data Augmentation Approach paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the ResNet-50 (AA) model in the AutoAugment: Learning Augmentation Policies from Data paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the ResNet-50 (Fast AA) model in the Fast AutoAugment paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the ResNet-50 (RA) model in the RandAugment: Practical automated data augmentation with a reduced search space paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the ResNet-50 (DADA) model in the DADA: Differentiable Automatic Data Augmentation paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the ResNet-50 (Faster AA) model in the Faster AutoAugment: Learning Augmentation Strategies using Backpropagation paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the DeiT-T (+MixPro) model in the MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer paper on the ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the Shake-Shake (26 2×96d) (Faster AA) model in the Faster AutoAugment: Learning Augmentation Strategies using Backpropagation paper on the CIFAR-10 dataset? | Percentage error |
What metrics were used to measure the Shake-Shake (26 2×112d) (Faster AA) model in the Faster AutoAugment: Learning Augmentation Strategies using Backpropagation paper on the CIFAR-10 dataset? | Percentage error |
What metrics were used to measure the WideResNet-28-10 (Faster AA) model in the Faster AutoAugment: Learning Augmentation Strategies using Backpropagation paper on the CIFAR-10 dataset? | Percentage error |
What metrics were used to measure the Shake-Shake (26 2×32d) (Faster AA) model in the Faster AutoAugment: Learning Augmentation Strategies using Backpropagation paper on the CIFAR-10 dataset? | Percentage error |
What metrics were used to measure the WideResNet-40-2 (Faster AA) model in the Faster AutoAugment: Learning Augmentation Strategies using Backpropagation paper on the CIFAR-10 dataset? | Percentage error |
What metrics were used to measure the MoVie-ResNeXt model in the MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond paper on the HowMany-QA dataset? | Accuracy, RMSE |
What metrics were used to measure the MoVie model in the MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond paper on the HowMany-QA dataset? | Accuracy, RMSE |
What metrics were used to measure the RCN model in the TallyQA: Answering Complex Counting Questions paper on the HowMany-QA dataset? | Accuracy, RMSE |
What metrics were used to measure the MoVie-ResNeXt model in the MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond paper on the TallyQA-Complex dataset? | Accuracy, RMSE |
What metrics were used to measure the RCN model in the TallyQA: Answering Complex Counting Questions paper on the TallyQA-Complex dataset? | Accuracy, RMSE |
What metrics were used to measure the MoVie model in the MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond paper on the TallyQA-Complex dataset? | Accuracy, RMSE |
What metrics were used to measure the ens model in the Counting Everyday Objects in Everyday Scenes paper on the COCO count-test dataset? | m-reIRMSE, m-reIRMSE-nz, mRMSE, mRMSE-nz |
What metrics were used to measure the Seq-sub-ft-3x3 model in the Counting Everyday Objects in Everyday Scenes paper on the COCO count-test dataset? | m-reIRMSE, m-reIRMSE-nz, mRMSE, mRMSE-nz |
What metrics were used to measure the Supervised Density Map model in the Object Counting and Instance Segmentation with Image-level Supervision paper on the COCO count-test dataset? | m-reIRMSE, m-reIRMSE-nz, mRMSE, mRMSE-nz |
What metrics were used to measure the LC-ResFCN model in the Where are the Blobs: Counting by Localization with Point Supervision paper on the COCO count-test dataset? | m-reIRMSE, m-reIRMSE-nz, mRMSE, mRMSE-nz |
What metrics were used to measure the Fast-RCNN model in the Counting Everyday Objects in Everyday Scenes paper on the COCO count-test dataset? | m-reIRMSE, m-reIRMSE-nz, mRMSE, mRMSE-nz |
What metrics were used to measure the glance-ft-2L model in the Counting Everyday Objects in Everyday Scenes paper on the COCO count-test dataset? | m-reIRMSE, m-reIRMSE-nz, mRMSE, mRMSE-nz |
What metrics were used to measure the Aso-sub-ft-3x3 model in the Counting Everyday Objects in Everyday Scenes paper on the COCO count-test dataset? | m-reIRMSE, m-reIRMSE-nz, mRMSE, mRMSE-nz |
What metrics were used to measure the HLCNN model in the An Accurate Car Counting in Aerial Images Based on Convolutional Neural Networks paper on the CARPK dataset? | MAE, RMSE |
What metrics were used to measure the SAFECount model in the Few-shot Object Counting with Similarity-Aware Feature Enhancement paper on the CARPK dataset? | MAE, RMSE |
What metrics were used to measure the CounTR model in the CounTR: Transformer-based Generalised Visual Counting paper on the CARPK dataset? | MAE, RMSE |
What metrics were used to measure the BMNet+ model in the Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting paper on the CARPK dataset? | MAE, RMSE |
What metrics were used to measure the Soft-IoU + EM-Merger unit model in the Precise Detection in Densely Packed Scenes paper on the CARPK dataset? | MAE, RMSE |
What metrics were used to measure the CounTX (uses arbitrary text input to specify object to count, used "the cars" for CARPK) model in the Open-world Text-specified Object Counting paper on the CARPK dataset? | MAE, RMSE |
What metrics were used to measure the RetinaNet (2018) model in the Drone-based Object Counting by Spatially Regularized Regional Proposal Network paper on the CARPK dataset? | MAE, RMSE |
What metrics were used to measure the One-Look Regression (2016) model in the A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning paper on the CARPK dataset? | MAE, RMSE |
What metrics were used to measure the LPN Counting (2017) model in the Drone-based Object Counting by Spatially Regularized Regional Proposal Network paper on the CARPK dataset? | MAE, RMSE |
What metrics were used to measure the RetinaNet (2018) model in the Focal Loss for Dense Object Detection paper on the CARPK dataset? | MAE, RMSE |
What metrics were used to measure the Faster R-CNN (2015) model in the Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks paper on the CARPK dataset? | MAE, RMSE |
What metrics were used to measure the YOLO9000opt (2017) model in the YOLO9000: Better, Faster, Stronger paper on the CARPK dataset? | MAE, RMSE |
What metrics were used to measure the YOLO (2016) model in the You Only Look Once: Unified, Real-Time Object Detection paper on the CARPK dataset? | MAE, RMSE |
What metrics were used to measure the GauNet (ResNet-50) model in the Rethinking Spatial Invariance of Convolutional Networks for Object Counting paper on the TRANCOS dataset? | MAE, MSE |
What metrics were used to measure the MoVie-ResNeXt model in the MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond paper on the TallyQA-Simple dataset? | Accuracy, RMSE |
What metrics were used to measure the RCN model in the TallyQA: Answering Complex Counting Questions paper on the TallyQA-Simple dataset? | Accuracy, RMSE |
What metrics were used to measure the MoVie model in the MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond paper on the TallyQA-Simple dataset? | Accuracy, RMSE |
What metrics were used to measure the Supervised Density Map model in the Object Counting and Instance Segmentation with Image-level Supervision paper on the Pascal VOC 2007 count-test dataset? | m-reIRMSE-nz, m-relRMSE, mRMSE, mRMSE-nz |
What metrics were used to measure the LC-ResFCN model in the Where are the Blobs: Counting by Localization with Point Supervision paper on the Pascal VOC 2007 count-test dataset? | m-reIRMSE-nz, m-relRMSE, mRMSE, mRMSE-nz |
What metrics were used to measure the ens model in the Counting Everyday Objects in Everyday Scenes paper on the Pascal VOC 2007 count-test dataset? | m-reIRMSE-nz, m-relRMSE, mRMSE, mRMSE-nz |
What metrics were used to measure the Seq-sub-ft-3x3 model in the Counting Everyday Objects in Everyday Scenes paper on the Pascal VOC 2007 count-test dataset? | m-reIRMSE-nz, m-relRMSE, mRMSE, mRMSE-nz |
What metrics were used to measure the LC-PSPNet model in the Where are the Blobs: Counting by Localization with Point Supervision paper on the Pascal VOC 2007 count-test dataset? | m-reIRMSE-nz, m-relRMSE, mRMSE, mRMSE-nz |
What metrics were used to measure the glance-noft-2L model in the Counting Everyday Objects in Everyday Scenes paper on the Pascal VOC 2007 count-test dataset? | m-reIRMSE-nz, m-relRMSE, mRMSE, mRMSE-nz |
What metrics were used to measure the Fast-RCNN model in the Counting Everyday Objects in Everyday Scenes paper on the Pascal VOC 2007 count-test dataset? | m-reIRMSE-nz, m-relRMSE, mRMSE, mRMSE-nz |
What metrics were used to measure the LOCA model in the A Low-Shot Object Counting Network With Iterative Prototype Adaptation paper on the FSC147 dataset? | MAE(test), MAE(val), RMSE(test), RMSE(val) |
What metrics were used to measure the CounTR model in the CounTR: Transformer-based Generalised Visual Counting paper on the FSC147 dataset? | MAE(test), MAE(val), RMSE(test), RMSE(val) |
What metrics were used to measure the SPDCN model in the Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting paper on the FSC147 dataset? | MAE(test), MAE(val), RMSE(test), RMSE(val) |
What metrics were used to measure the SAFECount model in the Few-shot Object Counting with Similarity-Aware Feature Enhancement paper on the FSC147 dataset? | MAE(test), MAE(val), RMSE(test), RMSE(val) |
What metrics were used to measure the BMNet+ model in the Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting paper on the FSC147 dataset? | MAE(test), MAE(val), RMSE(test), RMSE(val) |
What metrics were used to measure the LaoNet model in the Object Counting: You Only Need to Look at One paper on the FSC147 dataset? | MAE(test), MAE(val), RMSE(test), RMSE(val) |
What metrics were used to measure the CounTX (uses text descriptions instead of visual exemplars) model in the Open-world Text-specified Object Counting paper on the FSC147 dataset? | MAE(test), MAE(val), RMSE(test), RMSE(val) |
What metrics were used to measure the Counting-DETR model in the Few-shot Object Counting and Detection paper on the FSC147 dataset? | MAE(test), MAE(val), RMSE(test), RMSE(val) |
What metrics were used to measure the RCC model in the Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision paper on the FSC147 dataset? | MAE(test), MAE(val), RMSE(test), RMSE(val) |
What metrics were used to measure the FamNet model in the Learning To Count Everything paper on the FSC147 dataset? | MAE(test), MAE(val), RMSE(test), RMSE(val) |
What metrics were used to measure the SEDTWik model in the SEDTWik: Segmentation-based Event Detection from Tweets Using Wikipedia paper on the Events2012 - Oct 11 to Oct 17 dataset? | Duplicate Event Rate (DERate), Number of Events, Precision |
What metrics were used to measure the CSTL model in the Multi-scale Context-aware Network with Transformer for Gait Recognition paper on the OUMVLP dataset? | Averaged rank-1 acc(%) |
What metrics were used to measure the ReverseMask model in the Gait Recognition with Mask-based Regularization paper on the OUMVLP dataset? | Averaged rank-1 acc(%) |
What metrics were used to measure the 3DLocal model in the 3D Local Convolutional Neural Networks for Gait Recognition paper on the OUMVLP dataset? | Averaged rank-1 acc(%) |
What metrics were used to measure the GaitSet model in the GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition paper on the OUMVLP dataset? | Averaged rank-1 acc(%) |
What metrics were used to measure the SMPLGait model in the Gait Recognition in the Wild with Dense 3D Representations and A Benchmark paper on the Gait3D dataset? | Rank-1, Rank-5, mAP, mINP |
What metrics were used to measure the UniHCP (FT) model in the UniHCP: A Unified Model for Human-Centric Perceptions paper on the PETA dataset? | Accuracy |
What metrics were used to measure the Attribute-Specific Localization model in the Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization paper on the PETA dataset? | Accuracy |
What metrics were used to measure the ALM[tang2019Improving] (ICCV19) model in the Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method paper on the PETA dataset? | Accuracy |
What metrics were used to measure the strongbaseline model in the Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method paper on the PETA dataset? | Accuracy |
What metrics were used to measure the HP-net model in the HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis paper on the PETA dataset? | Accuracy |
What metrics were used to measure the Attribute-Specific Localization model in the Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization paper on the RAP dataset? | Accuracy |
What metrics were used to measure the HP-net model in the HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis paper on the RAP dataset? | Accuracy |
What metrics were used to measure the UniHCP (finetune) model in the UniHCP: A Unified Model for Human-Centric Perceptions paper on the RAPv2 dataset? | Accuracy |
What metrics were used to measure the PATH (Partial FT) model in the HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining paper on the PA-100K dataset? | Accuracy |
What metrics were used to measure the SOLIDER model in the Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks paper on the PA-100K dataset? | Accuracy |
What metrics were used to measure the UniHCP (finetune) model in the UniHCP: A Unified Model for Human-Centric Perceptions paper on the PA-100K dataset? | Accuracy |
What metrics were used to measure the APTM model in the Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark paper on the PA-100K dataset? | Accuracy |
What metrics were used to measure the Label2Label model in the Label2Label: A Language Modeling Framework for Multi-Attribute Learning paper on the PA-100K dataset? | Accuracy |
What metrics were used to measure the strongBaseline(ours) model in the Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method paper on the PA-100K dataset? | Accuracy |
What metrics were used to measure the Attribute-Specific Localization model in the Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization paper on the PA-100K dataset? | Accuracy |
What metrics were used to measure the HP-net model in the HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis paper on the PA-100K dataset? | Accuracy |
What metrics were used to measure the DenseNet model in the Densely Connected Convolutional Networks paper on the UAV-Human dataset? | Backpack, Gender, Hat, LCC, LCS, UCC, UCS |
What metrics were used to measure the ResNet model in the Deep Residual Learning for Image Recognition paper on the UAV-Human dataset? | Backpack, Gender, Hat, LCC, LCS, UCC, UCS |
What metrics were used to measure the MultiViewClustering model in the Motion Segmentation by Exploiting Complementary Geometric Models paper on the KT3DMoSeg dataset? | Error |
What metrics were used to measure the MVC model in the Motion Segmentation by Exploiting Complementary Geometric Models paper on the MTPV62 dataset? | Classification Error |
What metrics were used to measure the Rule Based model in the Understanding Dynamic Scenes using Graph Convolution Networks paper on the ApolloScape dataset? | Accuracy |
What metrics were used to measure the Rel-Att-GCN model in the Understanding Dynamic Scenes using Graph Convolution Networks paper on the ApolloScape dataset? | Accuracy |
What metrics were used to measure the MRGCN model in the Understanding Dynamic Scenes using Graph Convolution Networks paper on the ApolloScape dataset? | Accuracy |
What metrics were used to measure the MRGCN-LSTM model in the Understanding Dynamic Scenes using Graph Convolution Networks paper on the ApolloScape dataset? | Accuracy |
What metrics were used to measure the St-RNN model in the Understanding Dynamic Scenes using Graph Convolution Networks paper on the ApolloScape dataset? | Accuracy |
What metrics were used to measure the MVC model in the Motion Segmentation by Exploiting Complementary Geometric Models paper on the Hopkins155 dataset? | Classification Error |
What metrics were used to measure the RSIM model in the Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data paper on the Hopkins155 dataset? | Classification Error |
What metrics were used to measure the T-Linkage model in the A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models paper on the Hopkins155 dataset? | Classification Error |
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