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

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Showing 921–930 of 1576 papers

TitleStatusHype
Quality Matters: Embracing Quality Clues for Robust 3D Multi-Object Tracking—0
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking—0
STS: Surround-view Temporal Stereo for Multi-view 3D Detection—0
A Simple Baseline for Multi-Camera 3D Object DetectionCode1
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object DetectionCode0
GraVoS: Voxel Selection for 3D Point-Cloud DetectionCode0
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes—0
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection—0
Aerial Monocular 3D Object DetectionCode0
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local GraphCode1
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Benchmark Results

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