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 141150 of 1576 papers

TitleStatusHype
Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point CloudsCode2
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth CompletionCode2
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with TransformersCode2
SoftGroup for 3D Instance Segmentation on Point CloudsCode2
BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-ViewCode2
Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsCode2
Searching Efficient 3D Architectures with Sparse Point-Voxel ConvolutionCode2
Generative Sparse Detection Networks for 3D Single-shot Object DetectionCode2
Center-based 3D Object Detection and TrackingCode2
Star-convex Polyhedra for 3D Object Detection and Segmentation in MicroscopyCode2
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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