prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the ConvNeXt V1-L (Supervised) model in the ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the ConvNeXt V2-L (Supervised) model in the ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the Swin-L (SimMIM) model in the ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the ConvNeXt V2-L (FCMAE) model in the ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the ConvNeXt V2-H (FCMAE) model in the ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the SparK (ConvNeXt V1-B Mask R-CNN) model in the Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the S-RCNN+Ours model in the Progressive End-to-End Object Detection in Crowded Scenes paper on the CrowdHuman dataset? | AP, MR^-2 |
What metrics were used to measure the PP-YOLOE model in the PP-YOLOE: An evolved version of YOLO paper on the BDD100K val dataset? | mAP@0.5 |
What metrics were used to measure the hybrid incremental net model in the On Generalizing Detection Models for Unconstrained Environments paper on the BDD100K val dataset? | mAP@0.5 |
What metrics were used to measure the EfficientDet-D2 model in the Waste detection in Pomerania: non-profit project for detecting waste in environment paper on the Extended TACO-7 dataset? | mAP50 |
What metrics were used to measure the PANet++ model in the iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images paper on the iSAID dataset? | Average Precision |
What metrics were used to measure the PANet+ model in the iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images paper on the iSAID dataset? | Average Precision |
What metrics were used to measure the PANet model in the Path Aggregation Network for Instance Segmentation paper on the iSAID dataset? | Average Precision |
What metrics were used to measure the Mask-RCNN+ model in the Mask R-CNN paper on the iSAID dataset? | Average Precision |
What metrics were used to measure the Mask-RCNN model in the Mask R-CNN paper on the iSAID dataset? | Average Precision |
What metrics were used to measure the YOLT model in the SpaceNet: A Remote Sensing Dataset and Challenge Series paper on the SpaceNet 1 dataset? | F1 Score |
What metrics were used to measure the TridentNet model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Empirical Attention model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Double Heads model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Deformable Convolutional Network model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the RegNet model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the VarifocalNet model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Localization Distillation model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the FSAF model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Deformable DETR model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Grid RCNN model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the FCOS model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Faster RCNN model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Sparse RCNN model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the RepPoints model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the YOLOv3 model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the SSD model in the CPPE-5: Medical Personal Protective Equipment Dataset paper on the CPPE-5 dataset? | box AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Patches model in the Patch Refinement -- Localized 3D Object Detection paper on the KITTI Cars Hard dataset? | AP |
What metrics were used to measure the PointRCNN Shi et al. (2019) model in the PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud paper on the KITTI Cars Hard 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 Cars Hard dataset? | AP |
What metrics were used to measure the F-PointNet model in the Frustum PointNets for 3D Object Detection from RGB-D Data paper on the KITTI Cars Hard dataset? | AP |
What metrics were used to measure the VeloFCN model in the Vehicle Detection from 3D Lidar Using Fully Convolutional Network paper on the KITTI Cars Hard dataset? | AP |
What metrics were used to measure the VSTAM model in the Video Sparse Transformer With Attention-Guided Memory for Video Object Detection paper on the UA-DETRAC 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 UA-DETRAC 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 UA-DETRAC dataset? | mAP |
What metrics were used to measure the CenterNet model in the Objects as Points paper on the UA-DETRAC 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 UA-DETRAC dataset? | mAP |
What metrics were used to measure the R-FCN model in the R-FCN: Object Detection via Region-based Fully Convolutional Networks paper on the UA-DETRAC dataset? | mAP |
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 UA-DETRAC dataset? | mAP |
What metrics were used to measure the YOLOv2 model in the YOLO9000: Better, Faster, Stronger paper on the UA-DETRAC dataset? | mAP |
What metrics were used to measure the 3D-DETNet model in the 3D-DETNet: a Single Stage Video-Based Vehicle Detector paper on the UA-DETRAC dataset? | mAP |
What metrics were used to measure the Mask RCNN R50 model in the Natural Adversarial Objects paper on the NAO dataset? | mAP, mAP w/o OOD, mAR |
What metrics were used to measure the EfficientDet-D4 model in the Natural Adversarial Objects paper on the NAO dataset? | mAP, mAP w/o OOD, mAR |
What metrics were used to measure the EfficientDet-D7 model in the Natural Adversarial Objects paper on the NAO dataset? | mAP, mAP w/o OOD, mAR |
What metrics were used to measure the Faster RCNN model in the Natural Adversarial Objects paper on the NAO dataset? | mAP, mAP w/o OOD, mAR |
What metrics were used to measure the EfficientDet-D2 model in the Natural Adversarial Objects paper on the NAO dataset? | mAP, mAP w/o OOD, mAR |
What metrics were used to measure the RetinaNet-R50 model in the Natural Adversarial Objects paper on the NAO dataset? | mAP, mAP w/o OOD, mAR |
What metrics were used to measure the YOLOv3 model in the Natural Adversarial Objects paper on the NAO dataset? | mAP, mAP w/o OOD, mAR |
What metrics were used to measure the YOLOv5x model in the YOLO-Drone:Airborne real-time detection of dense small objects from high-altitude perspective paper on the India Driving Dataset dataset? | mAP@0.5 |
What metrics were used to measure the hybrid incremental net model in the On Generalizing Detection Models for Unconstrained Environments paper on the India Driving Dataset dataset? | mAP@0.5 |
What metrics were used to measure the YOLO-Drone model in the YOLO-Drone:Airborne real-time detection of dense small objects from high-altitude perspective paper on the India Driving Dataset dataset? | mAP@0.5 |
What metrics were used to measure the model in the Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection paper on the India Driving Dataset dataset? | mAP@0.5 |
What metrics were used to measure the YOLO model in the SHEL5K: An Extended Dataset and Benchmarking for Safety Helmet Detection paper on the SHEL5K dataset? | Average mAP |
What metrics were used to measure the PP-PicoDet-L model in the PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices paper on the MSCOCO dataset? | mAP @0.5:0.95, AP |
What metrics were used to measure the YOLOv5s model in the paper on the MSCOCO dataset? | mAP @0.5:0.95, AP |
What metrics were used to measure the PP-PicoDet-M model in the paper on the MSCOCO dataset? | mAP @0.5:0.95, AP |
What metrics were used to measure the YOLOX-tiny model in the paper on the MSCOCO dataset? | mAP @0.5:0.95, AP |
What metrics were used to measure the YOLOX-Nano model in the paper on the MSCOCO dataset? | mAP @0.5:0.95, AP |
What metrics were used to measure the NanoDet-M model in the paper on the MSCOCO dataset? | mAP @0.5:0.95, AP |
What metrics were used to measure the ScaleDet model in the ScaleDet: A Scalable Multi-Dataset Object Detector paper on the MSCOCO dataset? | mAP @0.5:0.95, AP |
What metrics were used to measure the GHOST model in the Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching paper on the VEDAI dataset? | mAP50 |
What metrics were used to measure the ICAFusion model in the ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection paper on the VEDAI dataset? | mAP50 |
What metrics were used to measure the SuperYOLO model in the SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery paper on the VEDAI dataset? | mAP50 |
What metrics were used to measure the Logo-Yolo model in the LogoDet-3K: A Large-Scale Image Dataset for Logo Detection paper on the FlickrLogos-32 dataset? | MAP |
What metrics were used to measure the DeepLogo (VGG) model in the DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer paper on the FlickrLogos-32 dataset? | MAP |
What metrics were used to measure the DeepLogo (AlexNet) model in the DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer paper on the FlickrLogos-32 dataset? | MAP |
What metrics were used to measure the YOLT model in the SpaceNet: A Remote Sensing Dataset and Challenge Series paper on the SpaceNet 2 dataset? | F1 Score (Avg. over Cities) |
What metrics were used to measure the Multi-Task Network Cascades model in the SpaceNet: A Remote Sensing Dataset and Challenge Series paper on the SpaceNet 2 dataset? | F1 Score (Avg. over Cities) |
What metrics were used to measure the OBSS YOLOv5+Track Boosting (Including Synthetic Data) model in the Track Boosting and Synthetic Data Aided Drone Detection paper on the Drone vs Bird dataset? | AP50, AP50l, AP50m, AP50s |
What metrics were used to measure the OBSS YOLOv5+Track Boosting model in the Track Boosting and Synthetic Data Aided Drone Detection paper on the Drone vs Bird dataset? | AP50, AP50l, AP50m, AP50s |
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 CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the Progressive DETR model in the Progressive End-to-End Object Detection in Crowded Scenes paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the DDQ DETR (R50) model in the Dense Distinct Query for End-to-End Object Detection paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the DDQ R-CNN (R50) model in the Dense Distinct Query for End-to-End Object Detection paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the DDQ FCN (R50 One-Stage) model in the Dense Distinct Query for End-to-End Object Detection paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the UniHCP (finetune) model in the UniHCP: A Unified Model for Human-Centric Perceptions paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the V2F-Net model in the V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the CrowdDet model in the Detection in Crowded Scenes: One Proposal, Multiple Predictions paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the Beta R-CNN model in the Beta R-CNN: Looking into Pedestrian Detection from Another Perspective paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the NOH-NMS model in the NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the IterDet (Faster RCNN, ResNet50, 2 iterations) model in the IterDet: Iterative Scheme for Object Detection in Crowded Environments paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the PS-RCNN (Faster RCNN, ResNet50, COCO Instance Masks model in the PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the PS-RCNN (Faster RCNN, ResNet50) model in the PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the Faster RCNN (ResNet50) model in the CrowdHuman: A Benchmark for Detecting Human in a Crowd paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the Adaptive NMS (Faster RCNN, ResNet50) model in the Adaptive NMS: Refining Pedestrian Detection in a Crowd paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the IterDet (Faster RCNN, ResNet50, 1 iteration) model in the IterDet: Iterative Scheme for Object Detection in Crowded Environments paper on the CrowdHuman (full body) dataset? | AP, mMR, Recall |
What metrics were used to measure the Cascade Eff-B7 NAS-FPN (Copy Paste pre-training, single-scale) model in the Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
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 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the HSD (VGG16, 512x512, single-scale test) model in the Hierarchical Shot Detector paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the CoupleNet model in the CoupleNet: Coupling Global Structure with Local Parts 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 EEEA-Net-C2 (YOLOv4) model in the EEEA-Net: An Early Exit Evolutionary Neural Architecture Search paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the HSD (VGG16, 320x320, single-scale test) model in the Hierarchical Shot Detector paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the SSD512 (07+12+COCO) model in the SSD: Single Shot MultiBox Detector paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the BlitzNet512 + seg (s8) model in the BlitzNet: A Real-Time Deep Network for Scene Understanding paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
What metrics were used to measure the Localize model in the Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection paper on the PASCAL VOC 2007 dataset? | MAP, AP50, mAP@50, mAP@50-95, box AP |
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