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 476–500 of 1576 papers

TitleStatusHype
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured AttentionCode1
Holistic 3D Scene Understanding from a Single Image with Implicit RepresentationCode1
HoughNet: Integrating near and long-range evidence for visual detectionCode1
High-level camera-LiDAR fusion for 3D object detection with machine learningCode1
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression FrameworkCode1
Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event CamerasCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object DetectionCode1
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object DetectionCode1
CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point CloudCode1
S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object DetectionCode1
H3DNet: 3D Object Detection Using Hybrid Geometric PrimitivesCode1
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel LogisticsCode1
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point CloudsCode1
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D PerceptionCode1
SA-Det3D: Self-Attention Based Context-Aware 3D Object DetectionCode1
Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D PerceptionCode1
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point CloudCode1
Exploring Active 3D Object Detection from a Generalization PerspectiveCode1
Color-aware two-branch DCNN for efficient plant disease classificationCode1
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point CloudCode1
SimPB: A Single Model for 2D and 3D Object Detection from Multiple CamerasCode1
Group-Free 3D Object Detection via TransformersCode1
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object DetectionCode1
HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object DetectionCode1
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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