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 1141–1150 of 1576 papers

TitleStatusHype
You Only Label Once: 3D Box Adaptation from Point Cloud to Image via Semi-Supervised Learning—0
Multi-Camera Multi-Object Tracking on the Move via Single-Stage Global Association Approach—0
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection—0
PAI3D: Painting Adaptive Instance-Prior for 3D Object Detection—0
Towards 3D Object Detection with 2D Supervision—0
Recursive Cross-View: Use Only 2D Detectors to Achieve 3D Object Detection without 3D Annotations—0
Boosting Semi-Supervised 3D Object Detection with Semi-SamplingCode0
Hyperbolic Cosine Transformer for LiDAR 3D Object Detection—0
3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X OrchestrationCode0
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 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