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

Showing 1120 of 1576 papers

TitleStatusHype
Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object DetectionCode3
Detect Anything 3D in the WildCode3
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationCode3
Geometric-aware Pretraining for Vision-centric 3D Object DetectionCode3
Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation ModelsCode3
Cubify Anything: Scaling Indoor 3D Object DetectionCode3
Collaborative Novel Object Discovery and Box-Guided Cross-Modal Alignment for Open-Vocabulary 3D Object DetectionCode3
Cross Modal Transformer: Towards Fast and Robust 3D Object DetectionCode3
BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object DetectionCode3
DeepInteraction++: Multi-Modality Interaction for Autonomous DrivingCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MMFusion-eNDS0.77Unverified
3MegFusionNDS0.77Unverified
4RacoonPowerNDS0.76Unverified
5BEVFusion-eNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8DAANDS0.75Unverified
9FusionVPENDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified