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 226–250 of 1576 papers

TitleStatusHype
Enhancing 3D Object Detection with 2D Detection-Guided Query AnchorsCode1
RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR FeaturesCode1
CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoors Object Detection from Multi-view ImagesCode1
Scalable Vision-Based 3D Object Detection and Monocular Depth Estimation for Autonomous DrivingCode1
Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object DetectionCode1
LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object DetectionCode1
AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision TransformerCode1
RIDERS: Radar-Infrared Depth Estimation for Robust SensingCode1
SGV3D:Towards Scenario Generalization for Vision-based Roadside 3D Object DetectionCode1
DCDet: Dynamic Cross-based 3D Object DetectorCode1
CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object DetectionCode1
HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object DetectionCode1
CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoor Object Detection from Multi-view ImagesCode1
Towards Robust 3D Object Detection with LiDAR and 4D Radar Fusion in Various Weather ConditionsCode1
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object DetectionCode1
MonoLSS: Learnable Sample Selection For Monocular 3D DetectionCode1
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object DetectionCode1
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object DetectionCode1
PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object DetectionCode1
Mono3DVG: 3D Visual Grounding in Monocular ImagesCode1
Weakly Supervised 3D Object Detection via Multi-Level Visual GuidanceCode1
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D DetectionCode1
SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated VehiclesCode1
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object DetectionCode1
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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