Imagen de Portada

Class-Distribution Guided Active Learning for 3D Occupancy Prediction in Autonomous Driving

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim, Wonjune, Lee, In-Jae, Hwang, Sihwan, Kim, Sanmin, Kum, Dongsuk
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

CRAB: Camera-Radar Fusion for Reducing Depth Ambiguity in Backward Projection based View Transformation
por: Lee, In-Jae, et al.
Publicado: (2025)

LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection
por: Kim, Sanmin, et al.
Publicado: (2024)

REOcc: Camera-Radar Fusion with Radar Feature Enrichment for 3D Occupancy Prediction
por: Song, Chaehee, et al.
Publicado: (2025)

RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection
por: Kim, Jisong, et al.
Publicado: (2023)

To View Transform or Not to View Transform: NeRF-based Pre-training Perspective
por: Jeong, Hyeonjun, et al.
Publicado: (2026)

InstaGraM: Instance-level Graph Modeling for Vectorized HD Map Learning
por: Shin, Juyeb, et al.
Publicado: (2023)

RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features
por: Bang, Geonho, et al.
Publicado: (2024)

Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving
por: Wang, Yunshen, et al.
Publicado: (2025)

OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving
por: Wang, Guoqing, et al.
Publicado: (2024)

Calibrating the Full Predictive Class Distribution of 3D Object Detectors for Autonomous Driving
por: Schröder, Cornelius, et al.
Publicado: (2025)

Technical Report for ICRA 2025 GOOSE 2D Semantic Segmentation Challenge: Boosting Off-Road Segmentation via Photometric Distortion and Exponential Moving Average
por: Kim, Wonjune, et al.
Publicado: (2025)

M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving
por: Chen, Xuesong, et al.
Publicado: (2025)

An Instance-Centric Panoptic Occupancy Prediction Benchmark for Autonomous Driving
por: Feng, Yi, et al.
Publicado: (2026)

Dr.Occ: Depth- and Region-Guided 3D Occupancy from Surround-View Cameras for Autonomous Driving
por: Zhu, Xubo, et al.
Publicado: (2026)

COTTA: Context-Aware Transfer Adaptation for Trajectory Prediction in Autonomous Driving
por: Park, Seohyoung, et al.
Publicado: (2026)

ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud Restoration
por: Kim, Youngseok, et al.
Publicado: (2025)

Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
por: Yang, Yu, et al.
Publicado: (2024)

VPOcc: Exploiting Vanishing Point for 3D Semantic Occupancy Prediction
por: Kim, Junsu, et al.
Publicado: (2024)

HyGE-Occ: Hybrid View-Transformation with 3D Gaussian and Edge Priors for 3D Panoptic Occupancy Prediction
por: Kim, Jong Wook, et al.
Publicado: (2025)

Stream and Query-guided Feature Aggregation for Efficient and Effective 3D Occupancy Prediction
por: Moon, Seokha, et al.
Publicado: (2025)

DA-Occ: Direction-Aware 2D Convolution for Efficient and Geometry-Preserving 3D Occupancy Prediction in Autonomous Driving
por: Zhou, Yuchen, et al.
Publicado: (2025)

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving
por: Li, Xiang, et al.
Publicado: (2025)

A Synthetic Benchmark for Collaborative 3D Semantic Occupancy Prediction in V2X-Enabled Autonomous Driving
por: Wu, Hanlin, et al.
Publicado: (2025)

CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
por: Lee, Hyuck, et al.
Publicado: (2024)

Normalized Convolutional Neural Network
por: Kim, Dongsuk, et al.
Publicado: (2020)

Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction
por: Shao, Wenbo, et al.
Publicado: (2024)

EFFOcc: Learning Efficient Occupancy Networks from Minimal Labels for Autonomous Driving
por: Shi, Yining, et al.
Publicado: (2024)

Omnidirectional Depth-Aided Occupancy Prediction based on Cylindrical Voxel for Autonomous Driving
por: Wu, Chaofan, et al.
Publicado: (2025)

Dataset Distillation of 3D Point Clouds via Distribution Matching
por: Yim, Jae-Young, et al.
Publicado: (2025)

3D Occupancy Prediction with Low-Resolution Queries via Prototype-aware View Transformation
por: Oh, Gyeongrok, et al.
Publicado: (2025)

ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query Decoder
por: Kim, Jungho, et al.
Publicado: (2024)

Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving
por: Lin, Jinpeng, et al.
Publicado: (2022)

Improving 3D Occupancy Prediction through Class-balancing Loss and Multi-scale Representation
por: Chen, Huizhou, et al.
Publicado: (2024)

SUG-Occ: Explicit Semantics and Uncertainty Guided Sparse Learning for Efficient 3D Occupancy Prediction
por: Wu, Hanlin, et al.
Publicado: (2026)

Rethinking Graph Convolution for 2D-to-3D Hand Pose Lifting
por: Kim, Chanyoung, et al.
Publicado: (2026)

Collaborative Learning of Local 3D Occupancy Prediction and Versatile Global Occupancy Mapping
por: Yuan, Shanshuai, et al.
Publicado: (2025)

GenieDrive: Towards Physics-Aware Driving World Model with 4D Occupancy Guided Video Generation
por: Yang, Zhenya, et al.
Publicado: (2025)

COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction
por: Ma, Qihang, et al.
Publicado: (2023)

Surface-Based Visibility-Guided Uncertainty for Continuous Active 3D Neural Reconstruction
por: Kim, Hyunseo, et al.
Publicado: (2024)

Test-Time 3D Occupancy Prediction
por: Zhang, Fengyi, et al.
Publicado: (2025)