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 701710 of 1576 papers

TitleStatusHype
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D PerceptionCode1
Open-Vocabulary Point-Cloud Object Detection without 3D AnnotationCode1
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object PredictionCode1
EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object DetectionCode2
IC-FPS: Instance-Centroid Faster Point Sampling Module for 3D Point-base Object Detection0
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions0
BEVFusion4D: Learning LiDAR-Camera Fusion Under Bird's-Eye-View via Cross-Modality Guidance and Temporal Aggregation0
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision TransformerCode1
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous DrivingCode1
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and TrackingCode1
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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