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 521530 of 1576 papers

TitleStatusHype
V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation NetworkCode0
Uni3DETR: Unified 3D Detection TransformerCode1
CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion0
Joint object detection and re-identification for 3D obstacle multi-camera systems0
Anyview: Generalizable Indoor 3D Object Detection with Variable Frames0
Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care EnvironmentsCode0
Rotation Matters: Generalized Monocular 3D Object Detection for Various Camera Systems0
Towards Fair and Comprehensive Comparisons for Image-Based 3D Object DetectionCode0
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
Towards Long-Range 3D Object Detection for Autonomous Vehicles0
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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