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 14711480 of 1576 papers

TitleStatusHype
Perspective-aware Convolution for Monocular 3D Object DetectionCode0
SpaRC: Sparse Radar-Camera Fusion for 3D Object DetectionCode0
Paint and Distill: Boosting 3D Object Detection with Semantic Passing NetworkCode0
Orthographic Feature Transform for Monocular 3D Object DetectionCode0
3D Object Detection From LiDAR Data Using Distance Dependent Feature ExtractionCode0
OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair NavigationCode0
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object DetectionCode0
Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure SensorsCode0
TR3D: Towards Real-Time Indoor 3D Object DetectionCode0
OKGR: Occluded Keypoint Generation and Refinement for 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