prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the DSVT(val) model in the DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets paper on the waymo vehicle dataset? | APH/L2, AP, L1 mAP |
What metrics were used to measure the CenterFormer model in the CenterFormer: Center-based Transformer for 3D Object Detection paper on the waymo vehicle dataset? | APH/L2, AP, L1 mAP |
What metrics were used to measure the PV-RCNN model in the PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection paper on the waymo vehicle dataset? | APH/L2, AP, L1 mAP |
What metrics were used to measure the SST model in the Embracing Single Stride 3D Object Detector with Sparse Transformer paper on the waymo vehicle dataset? | APH/L2, AP, L1 mAP |
What metrics were used to measure the M3DeTR model in the M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers paper on the waymo vehicle dataset? | APH/L2, AP, L1 mAP |
What metrics were used to measure the Pyramid-PV model in the Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection paper on the waymo vehicle dataset? | APH/L2, AP, L1 mAP |
What metrics were used to measure the VoTr-TSD model in the Voxel Transformer for 3D Object Detection paper on the waymo vehicle dataset? | APH/L2, AP, L1 mAP |
What metrics were used to measure the CenterPoint model in the Center-based 3D Object Detection and Tracking paper on the waymo all_ns dataset? | APH/L2 |
What metrics were used to measure the PV-RCNN model in the PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection paper on the waymo all_ns dataset? | APH/L2 |
What metrics were used to measure the CoBEVFlow model in the Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow paper on the DAIR-V2X dataset? | AP50 |
What metrics were used to measure the Where2comm model in the Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps paper on the DAIR-V2X dataset? | AP50 |
What metrics were used to measure the CoBEVFlow model in the Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow paper on the IRV2V dataset? | AP50, AP70 |
What metrics were used to measure the Point-GCC+TR3D+FF model in the Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the TR3D+FF model in the TR3D: Towards Real-Time Indoor 3D Object Detection paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the V-DETR model in the V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the Point-GCC+TR3D model in the Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the DeMF model in the Boosting 3D Object Detection via Object-Focused Image Fusion paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the TR3D (Geo only) model in the TR3D: Towards Real-Time Indoor 3D Object Detection paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the CAGroup3D(Geo only) model in the CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the TokenFusion model in the Multimodal Token Fusion for Vision Transformers paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the RepSurf-U model in the Surface Representation for Point Clouds paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the FCAF3D (Geo only) model in the FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the RBGNet(Geo only) model in the RBGNet: Ray-based Grouping for 3D Object Detection paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the LCPFormer model in the LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the GroupFree3D(Geo only) model in the Group-Free 3D Object Detection via Transformers paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the HGNet (Geo only) model in the A Hierarchical Graph Network for 3D Object Detection on Point Clouds paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the BRNet(Geo only) model in the Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the VoteNet (PC-FractalDB) model in the Point Cloud Pre-Training With Natural 3D Structures paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the H3DNet model in the H3DNet: 3D Object Detection Using Hybrid Geometric Primitives paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the VoteNet (Geo only) model in the Deep Hough Voting for 3D Object Detection in Point Clouds paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the 3DETR-m model in the An End-to-End Transformer Model for 3D Object Detection paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the COG+surface+context model in the Clouds of Oriented Gradients for 3D Detection of Objects, Surfaces, and Indoor Scene Layouts paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
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 SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the COG+surface model in the 3D Object Detection With Latent Support Surfaces paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the COG model in the Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the 2D-driven model in the 2D-Driven 3D Object Detection in RGB-D Images paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the Frustum VoxNet v2 (FPN + 3D ResNetFCN6 V2) model in the 3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the Frustum VoxNet (+3D ResNetFCN6) model in the Frustum VoxNet for 3D object detection from RGB-D or Depth images paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the Frustum VoxNet (YOLO v3+3D ResNetFCN6) model in the Frustum VoxNet for 3D object detection from RGB-D or Depth images paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the DSS model in the Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images paper on the SUN-RGBD val dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the VoxelNeXt model in the VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking paper on the Argoverse2 dataset? | mAP |
What metrics were used to measure the 3D-FCT model in the 3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation paper on the KITTI Cyclists Easy dataset? | AP |
What metrics were used to measure the M3DeTR model in the M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers paper on the KITTI Cyclists Easy dataset? | AP |
What metrics were used to measure the F-ConvNet model in the Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection paper on the KITTI Cyclists Easy dataset? | AP |
What metrics were used to measure the SVGA-Net model in the SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds paper on the KITTI Cyclists Easy dataset? | AP |
What metrics were used to measure the STD model in the STD: Sparse-to-Dense 3D Object Detector for Point Cloud paper on the KITTI Cyclists Easy dataset? | AP |
What metrics were used to measure the PV-RCNN model in the PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection paper on the KITTI Cyclists Easy dataset? | AP |
What metrics were used to measure the PointPillars model in the PointPillars: Fast Encoders for Object Detection from Point Clouds paper on the KITTI Cyclists Easy dataset? | AP |
What metrics were used to measure the PointRCNN model in the PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud paper on the KITTI Cyclists Easy dataset? | AP |
What metrics were used to measure the Frustum PointNets model in the Frustum PointNets for 3D Object Detection from RGB-D Data paper on the KITTI Cyclists Easy dataset? | AP |
What metrics were used to measure the IPOD model in the IPOD: Intensive Point-based Object Detector for Point Cloud paper on the KITTI Cyclists Easy dataset? | AP |
What metrics were used to measure the AVOD + Feature Pyramid model in the Joint 3D Proposal Generation and Object Detection from View Aggregation paper on the KITTI Cyclists Easy dataset? | AP |
What metrics were used to measure the VoxelNet model in the VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection paper on the KITTI Cyclists Easy dataset? | AP |
What metrics were used to measure the RRPN + R101 - FB model in the RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles paper on the nuScenes-FB dataset? | AP, AP50, AP75, AR, ARI, ARm, ARs |
What metrics were used to measure the GLENet-VR model in the GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the BtcDet model in the Behind the Curtain: Learning Occluded Shapes for 3D Object Detection paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the SE-SSD model in the SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the 3D Dual-Fusion model in the 3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the SPG model in the SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the VoTr-TSD (ours) model in the Voxel Transformer for 3D Object Detection paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the Pyramid-PV model in the Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the PV-RCNN++ model in the PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the M3DeTR model in the M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the Voxel R-CNN model in the Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the PV-RCNN model in the PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the SVGA-Net model in the SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the CIA-SSD model in the CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the SA-SSD+EBM model in the Accurate 3D Object Detection using Energy-Based Models paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the PC-RGNN model in the PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the Joint model in the Joint 3D Instance Segmentation and Object Detection for Autonomous Driving paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the STD model in the STD: Sparse-to-Dense 3D Object Detector for Point Cloud paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the UberATG-MMF model in the Multi-Task Multi-Sensor Fusion for 3D Object Detection paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the F-ConvNet model in the Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the PointRGCN model in the PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the PointRCNN 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 PointPillars model in the PointPillars: Fast Encoders for Object Detection from Point Clouds paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the PC-CNN-V2 model in the A General Pipeline for 3D Detection of Vehicles paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the RoarNet model in the RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the 3D-FCT model in the 3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the IPOD model in the IPOD: Intensive Point-based Object Detector for Point Cloud paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the AVOD + Feature Pyramid model in the Joint 3D Proposal Generation and Object Detection from View Aggregation paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the Frustum PointNets model in the Frustum PointNets for 3D Object Detection from RGB-D Data paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the VoxelNet model in the VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the PGD model in the Probabilistic and Geometric Depth: Detecting Objects in Perspective paper on the KITTI Cars Moderate dataset? | AP |
What metrics were used to measure the TaskPrompter model in the Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation paper on the Cityscapes 3D dataset? | mDS |
What metrics were used to measure the V2VNet (PointPillar backbone) model in the V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction paper on the OPV2V dataset? | AP@0.7@Default, AP@0.7@CulverCity |
What metrics were used to measure the Attentive Fusion (PointPillar backbone) model in the OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication paper on the OPV2V dataset? | AP@0.7@Default, AP@0.7@CulverCity |
What metrics were used to measure the Cooper (PointPillar backbone) model in the Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds paper on the OPV2V dataset? | AP@0.7@Default, AP@0.7@CulverCity |
What metrics were used to measure the F-Cooper (PointPillar backbone) model in the F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds paper on the OPV2V dataset? | AP@0.7@Default, AP@0.7@CulverCity |
What metrics were used to measure the Late Fusion (PointPillar backbone) model in the OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication paper on the OPV2V dataset? | AP@0.7@Default, AP@0.7@CulverCity |
What metrics were used to measure the PiFeNet model in the Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network paper on the KITTI Pedestrian Moderate dataset? | Average Precision |
What metrics were used to measure the PVCNN model in the Point-Voxel CNN for Efficient 3D Deep Learning paper on the KITTI Pedestrian Easy val dataset? | AP |
What metrics were used to measure the F-PointNet++ [Qi:2018fd] model in the Frustum PointNets for 3D Object Detection from RGB-D Data paper on the KITTI Pedestrian Easy val dataset? | AP |
What metrics were used to measure the M3DeTR model in the M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers paper on the KITTI Pedestrian Easy val dataset? | AP |
What metrics were used to measure the F-PointNet [Qi:2018fd] model in the Frustum PointNets for 3D Object Detection from RGB-D Data paper on the KITTI Pedestrian Easy val dataset? | AP |
What metrics were used to measure the CAGroup3D (Geo Only) model in the CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds paper on the SUN-RGBD dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the ImVoteNet model in the ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes paper on the SUN-RGBD dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the GroupFree3D model in the Group-Free 3D Object Detection via Transformers paper on the SUN-RGBD dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the STRL + VoteNet ShapeNet_Pretrain model in the Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds paper on the SUN-RGBD dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the STRL + VoteNet model in the Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds paper on the SUN-RGBD dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
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