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 13711380 of 1576 papers

TitleStatusHype
Curiosity-driven 3D Object Detection Without Labels0
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization0
cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex PolytopeCode0
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving0
Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation0
Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises LossCode0
An Overview Of 3D Object Detection0
Stereo Frustums: A Siamese Pipeline for 3D Object Detection0
3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings0
Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels0
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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