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 11111120 of 1576 papers

TitleStatusHype
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection0
Pattern-Aware Data Augmentation for LiDAR 3D Object Detection0
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
ePose: Let's Make EfficientPose More Generally ApplicableCode0
VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion0
ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection0
Joint stereo 3D object detection and implicit surface reconstructionCode0
BoxeR: Box-Attention for 2D and 3D TransformersCode1
Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Point Density Level EstimationCode1
ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D DataCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MegFusionNDS0.77Unverified
3MMFusion-eNDS0.77Unverified
4BEVFusion-eNDS0.76Unverified
5RacoonPowerNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8FusionVPENDS0.75Unverified
9FocalFormer3D-FNDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified