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 12411250 of 1576 papers

TitleStatusHype
Stereo Object Matching Network0
MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty PropagationCode1
TICaM: A Time-of-flight In-car Cabin Monitoring Dataset0
Stereo CenterNet based 3D Object Detection for Autonomous Driving0
Suppress-and-Refine Framework for End-to-End 3D Object DetectionCode1
RangeDet:In Defense of Range View for LiDAR-based 3D Object DetectionCode1
YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D DetectionCode1
3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks0
S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object DetectionCode1
Holistic 3D Scene Understanding from a Single Image with Implicit RepresentationCode1
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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