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

Showing 561570 of 1576 papers

TitleStatusHype
Structure Aware Single-Stage 3D Object Detection From Point CloudCode1
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous DrivingCode1
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object DetectionCode1
Train in Germany, Test in The USA: Making 3D Object Detectors GeneralizeCode1
3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object DetectionCode1
MLCVNet: Multi-Level Context VoteNet for 3D Object DetectionCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity EstimationCode1
SSN: Shape Signature Networks for Multi-class Object Detection from Point CloudsCode1
Finding Your (3D) Center: 3D Object Detection Using a Learned LossCode1
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Benchmark Results

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