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 1326–1350 of 1576 papers

TitleStatusHype
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
Temp-Frustum Net: 3D Object Detection with Temporal FusionCode0
Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View—0
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving—0
Exploring 2D Data Augmentation for 3D Monocular Object Detection—0
MonoGRNet: A General Framework for Monocular 3D Object Detection—0
OCM3D: Object-Centric Monocular 3D Object Detection—0
Exploring Geometric Consistency for Monocular 3D Object Detection—0
3D-MAN: 3D Multi-frame Attention Network for Object Detection—0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
Resonant Scanning Design and Control for Fast Spatial SamplingCode0
X-view: Non-egocentric Multi-View 3D Object Detector—0
Stereo Object Matching Network—0
TICaM: A Time-of-flight In-car Cabin Monitoring Dataset—0
Stereo CenterNet based 3D Object Detection for Autonomous Driving—0
3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks—0
MapFusion: A General Framework for 3D Object Detection with HDMaps—0
Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages—0
Offboard 3D Object Detection from Point Cloud Sequences—0
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image—0
Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection—0
Pseudo-labeling for Scalable 3D Object Detection—0
3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images—0
DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds—0
Object Removal Attacks on LiDAR-based 3D Object Detectors—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