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 13411350 of 1576 papers

TitleStatusHype
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds0
Weakly Supervised 3D Object Detection from Lidar Point CloudCode1
Object-Aware Centroid Voting for Monocular 3D Object Detection0
Pillar-based Object Detection for Autonomous DrivingCode1
Kinematic 3D Object Detection in Monocular VideoCode1
EPNet: Enhancing Point Features with Image Semantics for 3D Object DetectionCode1
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling0
CenterNet3D: An Anchor Free Object Detector for Point CloudCode1
Unsupervised object-centric video generation and decomposition in 3DCode0
Wasserstein Distances for Stereo Disparity EstimationCode1
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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