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 301–310 of 1576 papers

TitleStatusHype
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving—0
Fully Test-Time Adaptation for Monocular 3D Object DetectionCode2
Information Entropy Guided Height-aware Histogram for Quantization-friendly Pillar Feature Encoder—0
Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D PerceptionCode1
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
ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection—0
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review—0
Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object DetectionCode0
DiffuBox: Refining 3D Object Detection with Point DiffusionCode1
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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