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 311–320 of 1576 papers

TitleStatusHype
SpotNet: An Image Centric, Lidar Anchored Approach To Long Range Perception—0
UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-ClassesCode1
MonoDETRNext: Next-Generation Accurate and Efficient Monocular 3D Object Detector—0
SE3D: A Framework For Saliency Method Evaluation In 3D ImagingCode0
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and BeyondCode2
TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System—0
Empowering Urban Traffic Management: Elevated 3D LiDAR for Data Collection and Advanced Object Detection Analysis—0
FFAM: Feature Factorization Activation Map for Explanation of 3D DetectorsCode0
Mutual Information Analysis in Multimodal Learning Systems—0
Multi-View Attentive Contextualization for Multi-View 3D Object Detection—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