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BEV Segmentation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision
RESAR-BEV: An Explainable Progressive Residual Autoregressive Approach for Camera-Radar Fusion in BEV Segmentation
DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic Fusion
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving
SegLocNet: Multimodal Localization Network for Autonomous Driving via Bird's-Eye-View Segmentation
SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection
Focus on BEV: Self-calibrated Cycle View Transformation for Monocular Birds-Eye-View Segmentation
BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving
MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation
Divide and Conquer: Improving Multi-Camera 3D Perception with 2D Semantic-Depth Priors and Input-Dependent Queries
Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance
GaussianBeV: 3D Gaussian Representation meets Perception Models for BeV Segmentation
OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-eye-view Vehicle Semantic Segmentation
Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks
BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight
Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes
OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
TempBEV: Improving Learned BEV Encoders with Combined Image and BEV Space Temporal Aggregation
DaF-BEVSeg: Distortion-aware Fisheye Camera based Bird's Eye View Segmentation with Occlusion Reasoning
DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation
Improving Bird's Eye View Semantic Segmentation by Task Decomposition
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
PCT: Perspective Cue Training Framework for Multi-Camera BEV Segmentation
MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation Learning
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction
PointBeV: A Sparse Approach to BeV Predictions
U-BEV: Height-aware Bird's-Eye-View Segmentation and Neural Map-based Relocalization
MagicDrive: Street View Generation with Diverse 3D Geometry Control
Towards Viewpoint Robustness in Bird's Eye View Segmentation
BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout
MapSeg: Segmentation guided structured model for online HD map construction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.