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 861870 of 1576 papers

TitleStatusHype
Cross-Modality Knowledge Distillation Network for Monocular 3D Object DetectionCode1
Recursive Cross-View: Use Only 2D Detectors to Achieve 3D Object Detection without 3D Annotations0
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud LearningCode1
Hyperbolic Cosine Transformer for LiDAR 3D Object Detection0
3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X OrchestrationCode0
PointSee: Image Enhances Point Cloud0
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection0
OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection0
Multi-Camera Calibration Free BEV Representation for 3D Object Detection0
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision0
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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