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 221230 of 1576 papers

TitleStatusHype
CatFree3D: Category-agnostic 3D Object Detection with Diffusion0
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection0
CARLA Drone: Monocular 3D Object Detection from a Different Perspective0
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVsCode0
Detection of Intracranial Hemorrhage for Trauma PatientsCode0
MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation0
Co-Fix3D: Enhancing 3D Object Detection with Collaborative RefinementCode1
SC3D: Label-Efficient Outdoor 3D Object Detection via Single Click Annotation0
Learned Multimodal Compression for Autonomous Driving0
Panacea+: Panoramic and Controllable Video Generation for Autonomous DrivingCode3
Show:102550
← PrevPage 23 of 158Next →

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