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 951960 of 1576 papers

TitleStatusHype
Multimodal Object Query Initialization for 3D Object Detection0
GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection0
3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments0
V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation NetworkCode0
Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care EnvironmentsCode0
Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems0
Joint object detection and re-identification for 3D obstacle multi-camera systems0
CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion0
Anyview: Generalizable Indoor 3D Object Detection with Variable Frames0
Towards Fair and Comprehensive Comparisons for Image-Based 3D Object DetectionCode0
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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