SOTAVerified

3D Object Detection

3D Object Detection is a task in computer vision where the goal is to identify and locate objects in a 3D environment based on their shape, location, and orientation. It involves detecting the presence of objects and determining their location in the 3D space in real-time. This task is crucial for applications such as autonomous vehicles, robotics, and augmented reality.

( Image credit: AVOD )

Papers

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Showing 726–750 of 1576 papers

TitleStatusHype
Perspective-aware Convolution for Monocular 3D Object DetectionCode0
Orthographic Feature Transform for Monocular 3D Object DetectionCode0
CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise TransformerCode0
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene UnderstandingCode0
Holistic 3D Scene Parsing and Reconstruction from a Single RGB ImageCode0
Paint and Distill: Boosting 3D Object Detection with Semantic Passing NetworkCode0
OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair NavigationCode0
Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point CloudsCode0
OKGR: Occluded Keypoint Generation and Refinement for 3D Object DetectionCode0
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object DetectionCode0
Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object DetectionCode0
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
GraVoS: Voxel Selection for 3D Point-Cloud DetectionCode0
Multi-V2X: A Large Scale Multi-modal Multi-penetration-rate Dataset for Cooperative PerceptionCode0
Multi-View 3D Object Detection Network for Autonomous DrivingCode0
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object DetectionCode0
Accurate Single Stage Detector Using Recurrent Rolling ConvolutionCode0
Multimodal 3D Object Detection from Simulated PretrainingCode0
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object DetectionCode0
Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure SensorsCode0
Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object DetectionCode0
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationCode0
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object DetectionCode0
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object DetectionCode0
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object LocalizationCode0
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All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MMFusion-eNDS0.77—Unverified
3MegFusionNDS0.77—Unverified
4RacoonPowerNDS0.76—Unverified
5BEVFusion-eNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8DAANDS0.75—Unverified
9FusionVPENDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified