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 951960 of 1576 papers

TitleStatusHype
Fully Sparse 3D Object DetectionCode2
Rethinking IoU-based Optimization for Single-stage 3D Object DetectionCode1
Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain RobustnessCode1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection0
Teachers in concordance for pseudo-labeling of 3D sequential dataCode1
Paint and Distill: Boosting 3D Object Detection with Semantic Passing NetworkCode0
Real-Time And Robust 3D Object Detection with Roadside LiDARs0
Physical Attack on Monocular Depth Estimation with Optimal Adversarial PatchesCode1
MT-Net Submission to the Waymo 3D Detection Leaderboard0
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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