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 811–820 of 1576 papers

TitleStatusHype
3D for Free: Crossmodal Transfer Learning using HD Maps—0
3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features—0
3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion—0
3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature Learning—0
3D-MAN: 3D Multi-frame Attention Network for Object Detection—0
3D Object Aided Self-Supervised Monocular Depth Estimation—0
3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data—0
3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images—0
3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings—0
3D Object Detection and Tracking Based on Streaming Data—0
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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