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Robust 3D Object Detection
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3D Object Detection under Out-of-Distribution Scenarios
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Efficient On-Chip Implementation of 4D Radar-Based 3D Object Detection on Hailo-8L
Reliability-Driven LiDAR-Camera Fusion for Robust 3D Object Detection
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection
HD-OOD3D: Supervised and Unsupervised Out-of-Distribution object detection in LiDAR data
Progressive Multi-Modal Fusion for Robust 3D Object Detection
MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection
L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
DiffuBox: Refining 3D Object Detection with Point Diffusion
RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection
Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection
Towards Robust 3D Object Detection In Rainy Conditions
Robust 3D Object Detection from LiDAR-Radar Point Clouds via Cross-Modal Feature Augmentation
ThermRad: A Multi-modal Dataset for Robust 3D Object Detection under Challenging Conditions
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving
Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects
Real-Time And Robust 3D Object Detection with Roadside LiDARs
Robust 3D Object Detection in Cold Weather Conditions
A Survey of Robust 3D Object Detection Methods in Point Clouds
Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation
LiDAR Snowfall Simulation for Robust 3D Object Detection
Center-based 3D Object Detection and Tracking
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
TANet: Robust 3D Object Detection from Point Clouds with Triple Attention
PointPillars: Fast Encoders for Object Detection from Point Clouds
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement
A 3D Object Detection and Pose Estimation Pipeline Using RGB-D Images
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