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 811–820 of 1576 papers

TitleStatusHype
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D SensingCode0
CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise TransformerCode0
RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks—0
UCDNet: Multi-UAV Collaborative 3D Object Detection Network by Reliable Feature Mapping—0
UVCPNet: A UAV-Vehicle Collaborative Perception Network for 3D Object Detection—0
Multi-Object Tracking based on Imaging Radar 3D Object Detection—0
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving—0
Information Entropy Guided Height-aware Histogram for Quantization-friendly Pillar Feature Encoder—0
Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention—0
Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?—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