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 801–850 of 1576 papers

TitleStatusHype
Effect of Fog Particle Size Distribution on 3D Object Detection Under Adverse Weather Conditions—0
LAM3D: Leveraging Attention for Monocular 3D Object Detection—0
2D-Driven 3D Object Detection in RGB-D Images—0
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge—0
Weakly Supervised 3D Object Detection with Multi-Stage Generalization—0
3D Adversarial Augmentations for Robust Out-of-Domain Predictions—0
3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V—0
3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results—0
3D-FCT: Simultaneous 3D Object Detection and Tracking Using Feature Correlation—0
3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks—0
3D for Free: Crossmodal Transfer Learning using HD Maps—0
3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features—0
3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion—0
3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature Learning—0
3D-MAN: 3D Multi-frame Attention Network for Object Detection—0
3D Object Aided Self-Supervised Monocular Depth Estimation—0
3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data—0
3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images—0
3D Object Detection and Pose Estimation of Unseen Objects in Color Images with Local Surface Embeddings—0
3D Object Detection and Tracking Based on Streaming Data—0
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model—0
3D Object Detection Combining Semantic and Geometric Features from Point Clouds—0
3D Object Detection in LiDAR Point Clouds using Graph Neural Networks—0
3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds—0
3D Object Detection on Point Clouds using Local Ground-aware and Adaptive Representation of scenes' surface—0
3D Object Detection Using Scale Invariant and Feature Reweighting Networks—0
3D Object Detection With Latent Support Surfaces—0
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection—0
3D-SSD: Learning Hierarchical Features from RGB-D Images for Amodal 3D Object Detection—0
3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments—0
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection—0
3M3D: Multi-view, Multi-path, Multi-representation for 3D Object Detection—0
A 3D Object Detection and Pose Estimation Pipeline Using RGB-D Images—0
AA3DNet: Attention Augmented Real Time 3D Object Detection—0
Accelerating Federated Edge Learning via Topology Optimization—0
Accurate and Real-time Pseudo Lidar Detection: Is Stereo Neural Network Really Necessary?—0
Accurate Cutting-point Estimation for Robotic Lychee Harvesting through Geometry-aware Learning—0
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving—0
Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
ActFormer: Scalable Collaborative Perception via Active Queries—0
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection—0
Adapting Object Detectors with Conditional Domain Normalization—0
Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection—0
AdaptiveShape: Solving Shape Variability for 3D Object Detection with Geometry Aware Anchor Distributions—0
A Density-Aware PointRCNN for 3D Object Detection in Point Clouds—0
Adv3D: Generating 3D Adversarial Examples for 3D Object Detection in Driving Scenarios with NeRF—0
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey—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