prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Cascade R-CNN (HRNetV2p-W48) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the ISTR (ResNet50-FPN-3x, single-scale) model in the ISTR: End-to-End Instance Segmentation with Transformers paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the FoveaBox (ResNeXt-101) model in the FoveaBox: Beyond Anchor-based Object Detector paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the InternImage-H (M3I Pre-training) model in the InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the YOLOX-L model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the UniverseNet-20.08 model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the UniverseNet model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the ATSS (ConvNeXt-T) model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the ATSS (Swin-T) model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the ATSS+DyHead model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the Cascade R-CNN model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the GFL model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the ATSS model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the ATSS+SEPC model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the Faster R-CNN model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the Sparse R-CNN model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the Deformable DETR model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the RetinaNet model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
What metrics were used to measure the DETR model in the USB: Universal-Scale Object Detection Benchmark paper on the Waymo 2D detection all_ns f0val dataset? | COCO-style AP |
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 WiderPerson dataset? | AP, mMR |
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 WiderPerson dataset? | AP, mMR |
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 WiderPerson dataset? | AP, mMR |
What metrics were used to measure the Faster RCNN (ResNet50) model in the WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild paper on the WiderPerson dataset? | AP, mMR |
What metrics were used to measure the V2F-Net model in the V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection paper on the CityPersons dataset? | mMR |
What metrics were used to measure the DeepLOC model in the DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images paper on the GRAZPEDWRI-DX dataset? | mAP |
What metrics were used to measure the YOLOv8l model in the Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm paper on the GRAZPEDWRI-DX dataset? | mAP |
What metrics were used to measure the YOLOv8m model in the Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm paper on the GRAZPEDWRI-DX dataset? | mAP |
What metrics were used to measure the YOLOv8s model in the Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm paper on the GRAZPEDWRI-DX dataset? | mAP |
What metrics were used to measure the YOLOv8n model in the Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm paper on the GRAZPEDWRI-DX dataset? | mAP |
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 Drinking Waste Classification dataset? | AP50 |
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 Pedestrians Easy dataset? | AP |
What metrics were used to measure the YOLOv5 model in the A Robotic Approach towards Quantifying Epipelagic Bound Plastic Using Deep Visual Models paper on the DeepTrash dataset? | mAP |
What metrics were used to measure the PNe within NGC1380 & NGC1404 model in the Fornax 3D project: automated detection of planetary nebulae in the centres of early-type galaxies and first results paper on the Extragalactic Planetary Nebulae dataset? | Number of sources |
What metrics were used to measure the YOLOv8-M model in the WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmark for Autonomous Driving on Water Surfaces paper on the WaterScenes dataset? | mAP@50-95 |
What metrics were used to measure the YOLOX-M model in the YOLOX: Exceeding YOLO Series in 2021 paper on the WaterScenes dataset? | mAP@50-95 |
What metrics were used to measure the Achelous-MV-GDF-S2 model in the Achelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave Radar paper on the WaterScenes dataset? | mAP@50-95 |
What metrics were used to measure the Faster R-CNN model in the WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmark for Autonomous Driving on Water Surfaces paper on the WaterScenes dataset? | mAP@50-95 |
What metrics were used to measure the MILA model in the MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object Detection paper on the Pascal VOC to Clipart1K dataset? | mAP |
What metrics were used to measure the ScaleDet model in the ScaleDet: A Scalable Multi-Dataset Object Detector paper on the LVIS v1.0 dataset? | box AP |
What metrics were used to measure the Co-DETR (single-scale) model in the DETRs with Collaborative Hybrid Assignments Training paper on the LVIS v1.0 minival dataset? | box AP |
What metrics were used to measure the M3I Pre-training (InternImage-H, single-scale) model in the Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information paper on the LVIS v1.0 minival dataset? | box AP |
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 LVIS v1.0 minival dataset? | box AP |
What metrics were used to measure the GLIPv2 model in the GLIPv2: Unifying Localization and Vision-Language Understanding paper on the LVIS v1.0 minival dataset? | box AP |
What metrics were used to measure the RepPoints + Self-adaptation model in the Slender Object Detection: Diagnoses and Improvements paper on the COCO+ dataset? | mAR (COCO+ XS) |
What metrics were used to measure the MS-PAD model in the STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images paper on the STN PLAD dataset? | mAP |
What metrics were used to measure the ScaleDet model in the ScaleDet: A Scalable Multi-Dataset Object Detector paper on the OpenImages-v6 dataset? | box AP |
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 OpenImages-v6 dataset? | box AP |
What metrics were used to measure the Swin-T (ImageNet-1k pretrain) model in the Deep learning approaches to building rooftop thermal bridge detection from aerial images paper on the TBBR dataset? | Average Recall@IoU:0.5-0.95 |
What metrics were used to measure the FSAF (ResNeXt-101, ImageNet-1k pretrain) model in the Deep learning approaches to building rooftop thermal bridge detection from aerial images paper on the TBBR dataset? | Average Recall@IoU:0.5-0.95 |
What metrics were used to measure the Mask R-CNN (ResNet-50-FPN, ImageNet-1k pretrain) model in the Deep learning approaches to building rooftop thermal bridge detection from aerial images paper on the TBBR dataset? | Average Recall@IoU:0.5-0.95 |
What metrics were used to measure the Mask R-CNN (ResNet-50-FPN) model in the Deep learning approaches to building rooftop thermal bridge detection from aerial images paper on the TBBR dataset? | Average Recall@IoU:0.5-0.95 |
What metrics were used to measure the TridentNet (ResNet-50, ImageNet-1k pretrain) model in the Deep learning approaches to building rooftop thermal bridge detection from aerial images paper on the TBBR dataset? | Average Recall@IoU:0.5-0.95 |
What metrics were used to measure the FSAF (ResNeXt-101) model in the Deep learning approaches to building rooftop thermal bridge detection from aerial images paper on the TBBR dataset? | Average Recall@IoU:0.5-0.95 |
What metrics were used to measure the TridentNet (ResNet-50) model in the Deep learning approaches to building rooftop thermal bridge detection from aerial images paper on the TBBR dataset? | Average Recall@IoU:0.5-0.95 |
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 dataset? | Parameters(K) |
What metrics were used to measure the TarDAL 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 Multispectral Dataset dataset? | mAP@0.5 |
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 Cyclists Hard dataset? | AP |
What metrics were used to measure the BIRANet(RGB+Radar) model in the Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles paper on the nuScenes dataset? | AP(l), AP(m), AP(s), AP50, AP75, AP85, AR, AR(l), AR(m), AR(s), MAP |
What metrics were used to measure the RANet(Radar) model in the Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles paper on the nuScenes dataset? | AP(l), AP(m), AP(s), AP50, AP75, AP85, AR, AR(l), AR(m), AR(s), MAP |
What metrics were used to measure the Patches model in the Patch Refinement -- Localized 3D Object Detection paper on the KITTI Cars Moderate 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 Moderate 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 Moderate 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 Moderate dataset? | AP |
What metrics were used to measure the CDSSD model in the How To Extract Fashion Trends From Social Media? A Robust Object Detector With Support For Unsupervised Learning paper on the SUN-RGBD val dataset? | MAP |
What metrics were used to measure the MaxViT-B model in the MaxViT: Multi-Axis Vision Transformer paper on the COCO 2017 dataset? | AP, mAP, Mean mAP, AP50, AP75, APM, APM50, APM75 |
What metrics were used to measure the MaxViT-S model in the MaxViT: Multi-Axis Vision Transformer paper on the COCO 2017 dataset? | AP, mAP, Mean mAP, AP50, AP75, APM, APM50, APM75 |
What metrics were used to measure the MaxViT-T model in the MaxViT: Multi-Axis Vision Transformer paper on the COCO 2017 dataset? | AP, mAP, Mean mAP, AP50, AP75, APM, APM50, APM75 |
What metrics were used to measure the MixMIM-L model in the MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers paper on the COCO 2017 dataset? | AP, mAP, Mean mAP, AP50, AP75, APM, APM50, APM75 |
What metrics were used to measure the MixMIM-B model in the MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers paper on the COCO 2017 dataset? | AP, mAP, Mean mAP, AP50, AP75, APM, APM50, APM75 |
What metrics were used to measure the BiFormer-B (IN1k pretrain, MaskRCNN 12ep) model in the BiFormer: Vision Transformer with Bi-Level Routing Attention paper on the COCO 2017 dataset? | AP, mAP, Mean mAP, AP50, AP75, APM, APM50, APM75 |
What metrics were used to measure the BiFormer-S (IN1k pretrain, MaskRCNN 12ep) model in the BiFormer: Vision Transformer with Bi-Level Routing Attention paper on the COCO 2017 dataset? | AP, mAP, Mean mAP, AP50, AP75, APM, APM50, APM75 |
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 COCO 2017 dataset? | AP, mAP, Mean mAP, AP50, AP75, APM, APM50, APM75 |
What metrics were used to measure the retinanet model in the Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection paper on the COCO 2017 dataset? | AP, mAP, Mean mAP, AP50, AP75, APM, APM50, APM75 |
What metrics were used to measure the Ours Lpixel model in the Paint Transformer: Feed Forward Neural Painting with Stroke Prediction paper on the COCO 2017 dataset? | AP, mAP, Mean mAP, AP50, AP75, APM, APM50, APM75 |
What metrics were used to measure the DetectoRS + NWD (ResNet-50-FPN) model in the A Normalized Gaussian Wasserstein Distance for Tiny Object Detection paper on the AI-TOD dataset? | AP, AP50, AP75, APvt, APt, APs, APm, mAP50, mAP@50-95 |
What metrics were used to measure the DetectoRS (ResNet-50-FPN) model in the DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution paper on the AI-TOD dataset? | AP, AP50, AP75, APvt, APt, APs, APm, mAP50, mAP@50-95 |
What metrics were used to measure the M-CenterNet (DLA-34) model in the Tiny Object Detection in Aerial Images paper on the AI-TOD dataset? | AP, AP50, AP75, APvt, APt, APs, APm, mAP50, mAP@50-95 |
What metrics were used to measure the Cascade R-CNN (ResNet-50-FPN) model in the Cascade R-CNN: Delving into High Quality Object Detection paper on the AI-TOD dataset? | AP, AP50, AP75, APvt, APt, APs, APm, mAP50, mAP@50-95 |
What metrics were used to measure the YOLOv5+Inner-IoU model in the Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box paper on the AI-TOD dataset? | AP, AP50, AP75, APvt, APt, APs, APm, mAP50, mAP@50-95 |
What metrics were used to measure the LRPz model in the Towards Best Practice in Explaining Neural Network Decisions with LRP paper on the SIXray dataset? | 1 in 10 R@5 |
What metrics were used to measure the Optim [39] Lpixel model in the Paint Transformer: Feed Forward Neural Painting with Stroke Prediction paper on the SIXray dataset? | 1 in 10 R@5 |
What metrics were used to measure the GLIP-T model in the ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models paper on the ODinW Full-shot 35 Tasks dataset? | AP |
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 - 5% labeled data dataset? | COCO-style AP |
What metrics were used to measure the EVA model in the EVA: Exploring the Limits of Masked Visual Representation Learning at Scale paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the DETA
(Swin-L) model in the NMS Strikes Back paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the GLIP-L
(Swin-L) model in the Grounded Language-Image Pre-training paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the GRiT
(ViT-H) model in the GRiT: A Generative Region-to-text Transformer for Object Understanding paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the DINO
(Swin-L) model in the DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the CBNetV2
(Swin-L) model in the CBNet: A Composite Backbone Network Architecture for Object Detection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the ConvNeXt-XL
(Cascade Mask R-CNN) model in the A ConvNet for the 2020s paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the InternImage-L (Cascade Mask R-CNN) model in the InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the DyHead
(Swin-L) model in the Dynamic Head: Unifying Object Detection Heads with Attentions paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the ViTDet
(ViT-H) model in the Exploring Plain Vision Transformer Backbones for Object Detection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the ViT-Adapter
(BEiTv2-L) model in the Vision Transformer Adapter for Dense Predictions paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the FIBER-B
(Swin-B) model in the Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the QueryInst
(Swin-L) model in the Instances as Queries paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the YOLOR-D6 model in the You Only Learn One Representation: Unified Network for Multiple Tasks paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the YOLOv6-L6 model in the YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the YOLOv7-E6E model in the YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the MViTV2-H
(Cascade Mask R-CNN) model in the MViTv2: Improved Multiscale Vision Transformers for Classification and Detection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
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