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

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Showing 1041–1050 of 1576 papers

TitleStatusHype
EVT: Efficient View Transformation for Multi-Modal 3D Object Detection—0
Expandable YOLO: 3D Object Detection from RGB-D Images—0
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps—0
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data—0
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection—0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
Exploring 2D Data Augmentation for 3D Monocular Object Detection—0
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions—0
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All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MMFusion-eNDS0.77—Unverified
3MegFusionNDS0.77—Unverified
4RacoonPowerNDS0.76—Unverified
5BEVFusion-eNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8DAANDS0.75—Unverified
9FusionVPENDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified