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 10511060 of 1576 papers

TitleStatusHype
MonoDTR: Monocular 3D Object Detection with Depth-Aware TransformerCode1
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision TransformerCode2
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
VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial AttentionCode1
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object DetectionCode1
WeakM3D: Towards Weakly Supervised Monocular 3D Object DetectionCode1
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection0
CVFNet: Real-time 3D Object Detection by Learning Cross View Features0
PillarGrid: Deep Learning-based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDARCode1
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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