prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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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 SUN-RGBD dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the Frustum VoxNets v2 model in the 3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images paper on the SUN-RGBD dataset? | mAP@0.25, mAP@0.5, Inference Speed (s) |
What metrics were used to measure the PV-RCNN model in the Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather paper on the Dense Fog dataset? | mod. Car AP@.5IoU, mod. Cyclist AP@.25IoU, mod. Pedestrian AP@.25IoU, mod. mAP |
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 ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the Swin3D-L+CAGroup3D model in the Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the CAGroup3D model in the CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
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 ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the TR3D model in the TR3D: Towards Real-Time Indoor 3D Object Detection paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the SoftGroup model in the SoftGroup for 3D Instance Segmentation on Point Clouds paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the FCAF3D model in the FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the RepSurf-U model in the Surface Representation for Point Clouds paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the TokenFusion model in the Multimodal Token Fusion for Vision Transformers paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the RBGNet model in the RBGNet: Ray-based Grouping for 3D Object Detection paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the PBNet model in the Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the GroupFree3D model in the Group-Free 3D Object Detection via Transformers paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the H3DNet model in the H3DNet: 3D Object Detection Using Hybrid Geometric Primitives paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the BRNet model in the Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
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 ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the 3D-MPA model in the 3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the VoteNet (PC-FractalDB) model in the Point Cloud Pre-Training With Natural 3D Structures paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the GSDN model in the Generative Sparse Detection Networks for 3D Single-shot Object Detection paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the HGNet model in the A Hierarchical Graph Network for 3D Object Detection on Point Clouds paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the VoteNet model in the Deep Hough Voting for 3D Object Detection in Point Clouds paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the ImGeoNet (RGB only) model in the ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the ImVoxelNet (RGB only) model in the ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the 3D-SIS model in the 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the GSPN model in the GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the SGPN model in the SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation paper on the ScanNetV2 dataset? | mAP@0.25, mAP@0.5 |
What metrics were used to measure the SGPN-CNN model in the SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation paper on the NYU Depth v2 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 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 Cyclists 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 Cyclists 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 Cyclists 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 Cyclists 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 Cyclists 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 Cyclists 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 Cyclists 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 Cyclists 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 Cyclists 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 Cyclists 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 Cyclists Moderate dataset? | AP |
What metrics were used to measure the Lidar-Radar-Camera model in the aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception paper on the aiMotive Dataset dataset? | BEV AP@0.3 Highway, BEV AP@0.3 Night, BEV AP@0.3 Rain, BEV AP@0.3 Urban |
What metrics were used to measure the Lidar model in the aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception paper on the aiMotive Dataset dataset? | BEV AP@0.3 Highway, BEV AP@0.3 Night, BEV AP@0.3 Rain, BEV AP@0.3 Urban |
What metrics were used to measure the Lidar-Radar model in the aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception paper on the aiMotive Dataset dataset? | BEV AP@0.3 Highway, BEV AP@0.3 Night, BEV AP@0.3 Rain, BEV AP@0.3 Urban |
What metrics were used to measure the Where2comm model in the Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps paper on the V2X-SIM dataset? | AP50 |
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 Hard val 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 Hard val 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 Hard val 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 Hard val 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 Hard val 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 Hard val dataset? | AP |
What metrics were used to measure the PVCNN model in the Point-Voxel CNN for Efficient 3D Deep Learning paper on the KITTI Cars Hard 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 Cars Hard val dataset? | AP |
What metrics were used to measure the MV3D model in the Multi-View 3D Object Detection Network for Autonomous Driving paper on the KITTI Cars Hard val 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 Hard val dataset? | AP |
What metrics were used to measure the PV-RCNN model in the LiDAR Snowfall Simulation for Robust 3D Object Detection paper on the Clear Weather dataset? | mod. Car AP@.7IoU |
What metrics were used to measure the DSVT(val) model in the DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets paper on the waymo cyclist dataset? | APH/L2 |
What metrics were used to measure the CenterFormer model in the CenterFormer: Center-based Transformer for 3D Object Detection paper on the waymo cyclist dataset? | APH/L2 |
What metrics were used to measure the SST model in the Embracing Single Stride 3D Object Detector with Sparse Transformer paper on the waymo cyclist dataset? | APH/L2 |
What metrics were used to measure the CenterPoint model in the Center-based 3D Object Detection and Tracking paper on the waymo cyclist 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 cyclist dataset? | APH/L2 |
What metrics were used to measure the PillarNeXt model in the PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds paper on the waymo cyclist dataset? | APH/L2 |
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 cyclist dataset? | APH/L2 |
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 Hard dataset? | AP |
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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard 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 Hard dataset? | AP |
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 Easy 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 Easy 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 Easy 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 Easy 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 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 Cars 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 Cars Easy 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 Easy 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 Easy 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 Easy 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 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 Cars Easy 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 Easy dataset? | AP |
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