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 821–830 of 1576 papers

TitleStatusHype
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model—0
3D Object Detection Combining Semantic and Geometric Features from Point Clouds—0
3D Object Detection in LiDAR Point Clouds using Graph Neural Networks—0
3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds—0
3D Object Detection on Point Clouds using Local Ground-aware and Adaptive Representation of scenes' surface—0
3D Object Detection Using Scale Invariant and Feature Reweighting Networks—0
3D Object Detection With Latent Support Surfaces—0
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection—0
3D-SSD: Learning Hierarchical Features from RGB-D Images for Amodal 3D Object Detection—0
3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments—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