prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the CAPE model in the CAPE: Camera View Position Embedding for Multi-View 3D Object Detection paper on the nuScenes Camera Only dataset? | NDS, Future Frame |
What metrics were used to measure the SA-BEV model in the SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection paper on the nuScenes Camera Only dataset? | NDS, Future Frame |
What metrics were used to measure the SOLOFusion-pure model in the Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection paper on the nuScenes Camera Only dataset? | NDS, Future Frame |
What metrics were used to measure the BEVStereo model in the BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo paper on the nuScenes Camera Only dataset? | NDS, Future Frame |
What metrics were used to measure the BEVDepth-pure model in the BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection paper on the nuScenes Camera Only dataset? | NDS, Future Frame |
What metrics were used to measure the BEVDistill model in the BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection paper on the nuScenes Camera Only dataset? | NDS, Future Frame |
What metrics were used to measure the PETRv2-pure model in the PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images paper on the nuScenes Camera Only dataset? | NDS, Future Frame |
What metrics were used to measure the PolarFormer model in the PolarFormer: Multi-camera 3D Object Detection with Polar Transformer paper on the nuScenes Camera Only dataset? | NDS, Future Frame |
What metrics were used to measure the BEVDet4D model in the BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection paper on the nuScenes Camera Only dataset? | NDS, Future Frame |
What metrics were used to measure the BEVFormer model in the BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers paper on the nuScenes Camera Only dataset? | NDS, Future Frame |
What metrics were used to measure the V2X-ViT model in the V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer paper on the V2XSet dataset? | AP0.5 (Perfect), AP0.7 (Perfect), AP0.5 (Noisy), AP0.7 (Noisy) |
What metrics were used to measure the V2X-AHD model in the V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network paper on the V2XSet dataset? | AP0.5 (Perfect), AP0.7 (Perfect), AP0.5 (Noisy), AP0.7 (Noisy) |
What metrics were used to measure the V2VNet model in the V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction paper on the V2XSet dataset? | AP0.5 (Perfect), AP0.7 (Perfect), AP0.5 (Noisy), AP0.7 (Noisy) |
What metrics were used to measure the DiscoNet model in the Learning Distilled Collaboration Graph for Multi-Agent Perception paper on the V2XSet dataset? | AP0.5 (Perfect), AP0.7 (Perfect), AP0.5 (Noisy), AP0.7 (Noisy) |
What metrics were used to measure the F-Cooper model in the F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds paper on the V2XSet dataset? | AP0.5 (Perfect), AP0.7 (Perfect), AP0.5 (Noisy), AP0.7 (Noisy) |
What metrics were used to measure the AttentiveFusion model in the OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication paper on the V2XSet dataset? | AP0.5 (Perfect), AP0.7 (Perfect), AP0.5 (Noisy), AP0.7 (Noisy) |
What metrics were used to measure the SA-Det3D model in the SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection paper on the KITTI Cyclists 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 Cyclists 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 Cyclists 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 Cyclists Hard dataset? | AP |
What metrics were used to measure the F-ConvNets model in the Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection paper on the KITTI Cyclists 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 Cyclists 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 Cyclists Hard 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 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 Cyclists 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 Cyclists 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 Cyclists 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 Cyclists Hard dataset? | AP |
What metrics were used to measure the tempVar model in the paper on the Argoverse dataset? | AVG-CDS |
What metrics were used to measure the centerpoint-nuscenes-pretrained model in the paper on the Argoverse dataset? | AVG-CDS |
What metrics were used to measure the Argoverse Detection Baseline model in the paper on the Argoverse dataset? | AVG-CDS |
What metrics were used to measure the ky_nctu_mo model in the paper on the Argoverse dataset? | AVG-CDS |
What metrics were used to measure the Sample baseline model in the paper on the Argoverse dataset? | AVG-CDS |
What metrics were used to measure the baseline model in the paper on the Argoverse dataset? | AVG-CDS |
What metrics were used to measure the Far3D model in the Far3D: Expanding the Horizon for Surround-view 3D Object Detection paper on the 3D Object Detection on Argoverse2 Camera Only dataset? | Average mAP |
What metrics were used to measure the StreamPETR model in the Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection paper on the 3D Object Detection on Argoverse2 Camera Only dataset? | Average mAP |
What metrics were used to measure the PETR model in the PETR: Position Embedding Transformation for Multi-View 3D Object Detection paper on the 3D Object Detection on Argoverse2 Camera Only dataset? | Average 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 Pedestrians 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 Pedestrians Moderate dataset? | AP |
What metrics were used to measure the HotSpotNet model in the Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots paper on the KITTI Pedestrians 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 Pedestrians 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 Pedestrians 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 Pedestrians Moderate dataset? | AP |
What metrics were used to measure the Frustrum-PointPillars model in the Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR paper on the KITTI Pedestrians 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 Pedestrians 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 Pedestrians 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 Pedestrians 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 Pedestrians 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 Pedestrians Moderate 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 Pedestrian Hard 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 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 Pedestrian 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 Pedestrian Hard val dataset? | AP |
What metrics were used to measure the DSVT model in the DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets paper on the nuScenes LiDAR only dataset? | NDS, NDS (val), mAP, mAP (val) |
What metrics were used to measure the PillarNet model in the PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection paper on the nuScenes LiDAR only dataset? | NDS, NDS (val), mAP, mAP (val) |
What metrics were used to measure the Transfusion model in the TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers paper on the nuScenes LiDAR only dataset? | NDS, NDS (val), mAP, mAP (val) |
What metrics were used to measure the CenterPoint model in the Center-based 3D Object Detection and Tracking paper on the nuScenes LiDAR only dataset? | NDS, NDS (val), mAP, mAP (val) |
What metrics were used to measure the CBGS model in the Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection paper on the nuScenes LiDAR only dataset? | NDS, NDS (val), mAP, mAP (val) |
What metrics were used to measure the PointPillar model in the PointPillars: Fast Encoders for Object Detection from Point Clouds paper on the nuScenes LiDAR only dataset? | NDS, NDS (val), mAP, mAP (val) |
What metrics were used to measure the Deformable PV-RCNN model in the Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations paper on the KITTI Cyclists Moderate val dataset? | AP |
What metrics were used to measure the CoBEV model in the CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity paper on the DAIR-V2X-I dataset? | AP|R40(moderate), AP|R40(easy), AP|R40(hard) |
What metrics were used to measure the BEVHeight model in the BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection paper on the DAIR-V2X-I dataset? | AP|R40(moderate), AP|R40(easy), AP|R40(hard) |
What metrics were used to measure the BEVDepth model in the BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection paper on the DAIR-V2X-I dataset? | AP|R40(moderate), AP|R40(easy), AP|R40(hard) |
What metrics were used to measure the CBR model in the Calibration-free BEV Representation for Infrastructure Perception paper on the DAIR-V2X-I dataset? | AP|R40(moderate), AP|R40(easy), AP|R40(hard) |
What metrics were used to measure the PointPillars model in the PointPillars: Fast Encoders for Object Detection from Point Clouds paper on the DAIR-V2X-I dataset? | AP|R40(moderate), AP|R40(easy), AP|R40(hard) |
What metrics were used to measure the MVXNet model in the MVX-Net: Multimodal VoxelNet for 3D Object Detection paper on the DAIR-V2X-I dataset? | AP|R40(moderate), AP|R40(easy), AP|R40(hard) |
What metrics were used to measure the BEVFormer model in the BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers paper on the DAIR-V2X-I dataset? | AP|R40(moderate), AP|R40(easy), AP|R40(hard) |
What metrics were used to measure the ImVoxelNet model in the ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection paper on the DAIR-V2X-I dataset? | AP|R40(moderate), AP|R40(easy), AP|R40(hard) |
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 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 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 Cars Easy 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 Easy 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 Easy 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 Easy 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 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 Cars Easy 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 Easy val dataset? | AP |
What metrics were used to measure the MV3D (LiDAR) model in the Multi-View 3D Object Detection Network for Autonomous Driving paper on the KITTI Cars Easy 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 Easy val dataset? | AP |
What metrics were used to measure the DSVT(val) model in the DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets paper on the waymo pedestrian 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 pedestrian 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 pedestrian 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 pedestrian 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 pedestrian 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 pedestrian 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 pedestrian dataset? | APH/L2 |
What metrics were used to measure the PVCNN model in the Point-Voxel CNN for Efficient 3D Deep Learning paper on the KITTI Pedestrian Moderate 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 Moderate 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 Moderate 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 Moderate 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 Cyclist Moderate 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 Cyclist Moderate 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 Cyclist Moderate 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 Cyclist Moderate val 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 Pedestrians 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 Pedestrians 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 Pedestrians 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 Pedestrians Easy dataset? | AP |
What metrics were used to measure the Frustrum-PointPillars model in the Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR paper on the KITTI Pedestrians 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 Pedestrians Easy dataset? | AP |
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