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 21–30 of 1576 papers

TitleStatusHype
PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model—0
MonoCoP: Chain-of-Prediction for Monocular 3D Object Detection—0
DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic FusionCode1
Efficient On-Chip Implementation of 4D Radar-Based 3D Object Detection on Hailo-8L—0
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection—0
Floating Car Observers in Intelligent Transportation Systems: Detection Modeling and Temporal Insights—0
A Review of 3D Object Detection with Vision-Language Models—0
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object DetectionCode1
Lightweight LiDAR-Camera 3D Dynamic Object Detection and Multi-Class Trajectory PredictionCode1
Weak Cube R-CNN: Weakly Supervised 3D Detection using only 2D Bounding Boxes—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
2MegFusionNDS0.77—Unverified
3MMFusion-eNDS0.77—Unverified
4BEVFusion-eNDS0.76—Unverified
5RacoonPowerNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8FusionVPENDS0.75—Unverified
9FocalFormer3D-FNDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified