Cover Image

SimDistill: Simulated Multi-modal Distillation for BEV 3D Object Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Haimei, Zhang, Qiming, Zhao, Shanshan, Chen, Zhe, Zhang, Jing, Tao, Dacheng
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather
by: Zhao, Haimei, et al.
Published: (2024)

FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection
by: Jiang, Zheng, et al.
Published: (2024)

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation
by: Xu, Shaoqing, et al.
Published: (2024)

Heuristic-inspired Reasoning Priors Facilitate Data-Efficient Referring Object Detection
by: Zhang, Xu, et al.
Published: (2026)

On Robust Cross-View Consistency in Self-Supervised Monocular Depth Estimation
by: Zhao, Haimei, et al.
Published: (2022)

GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection
by: Zhang, Jinqing, et al.
Published: (2024)

LAB-Det: Language as a Domain-Invariant Bridge for Training-Free One-Shot Domain Generalization in Object Detection
by: Zhang, Xu, et al.
Published: (2026)

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

UniBEV: Multi-modal 3D Object Detection with Uniform BEV Encoders for Robustness against Missing Sensor Modalities
by: Wang, Shiming, et al.
Published: (2023)

HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object Detection
by: Wu, Di, et al.
Published: (2024)

CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation
by: Zhao, Lingjun, et al.
Published: (2024)

AsyncBEV: Cross-modal Flow Alignment in Asynchronous 3D Object Detection
by: Wang, Shiming, et al.
Published: (2026)

Distilling Channels for Efficient Deep Tracking
by: Ge, Shiming, et al.
Published: (2024)

BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection
by: Liu, Jiaming, et al.
Published: (2022)

Eliminating Cross-modal Conflicts in BEV Space for LiDAR-Camera 3D Object Detection
by: Fu, Jiahui, et al.
Published: (2024)

MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation
by: Hao, Xiaoshuai, et al.
Published: (2024)

GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection
by: Song, Ziying, et al.
Published: (2024)

ROA-BEV: 2D Region-Oriented Attention for BEV-based 3D Object Detection
by: Chen, Jiwei, et al.
Published: (2024)

Fusion-then-Distillation: Toward Cross-modal Positive Distillation for Domain Adaptive 3D Semantic Segmentation
by: Wu, Yao, et al.
Published: (2024)

Reflectance Prediction-based Knowledge Distillation for Robust 3D Object Detection in Compressed Point Clouds
by: Jing, Hao, et al.
Published: (2025)

Towards Modality-agnostic Label-efficient Segmentation with Entropy-Regularized Distribution Alignment
by: Tang, Liyao, et al.
Published: (2024)

From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering
by: Zhao, Yu, et al.
Published: (2025)

Multi-Granularity Hand Action Detection
by: Zhe, Ting, et al.
Published: (2023)

SABER: Spatially Consistent 3D Universal Adversarial Objects for BEV Detectors
by: Li, Aixuan, et al.
Published: (2025)

DenseBEV: Transforming BEV Grid Cells into 3D Objects
by: Dähling, Marius, et al.
Published: (2025)

OcRFDet: Object-Centric Radiance Fields for Multi-View 3D Object Detection in Autonomous Driving
by: Ji, Mingqian, et al.
Published: (2025)

MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation
by: Zhao, Xiao, et al.
Published: (2024)

Refine-and-Contrast: Adaptive Instance-Aware BEV Representations for Multi-UAV Collaborative Object Detection
by: Li, Zhongyao, et al.
Published: (2025)

On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
by: Tang, Liyao, et al.
Published: (2025)

Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
by: Wen, Zichen, et al.
Published: (2025)

Improving Neural ODEs via Knowledge Distillation
by: Chu, Haoyu, et al.
Published: (2022)

Weak-to-Strong 3D Object Detection with X-Ray Distillation
by: Gambashidze, Alexander, et al.
Published: (2024)

Boosting 3D Object Detection with Semantic-Aware Multi-Branch Framework
by: Jing, Hao, et al.
Published: (2024)

Multi-modal Relation Distillation for Unified 3D Representation Learning
by: Wang, Huiqun, et al.
Published: (2024)

Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
by: Wang, Hu, et al.
Published: (2023)

ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection
by: Song, Ziying, et al.
Published: (2024)

SimpleBEV: Improved LiDAR-Camera Fusion Architecture for 3D Object Detection
by: Zhao, Yun, et al.
Published: (2024)

BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection
by: Li, Zhenxin, et al.
Published: (2023)

RayD3D: Distilling Depth Knowledge Along the Ray for Robust Multi-View 3D Object Detection
by: Ding, Rui, et al.
Published: (2026)

Distilling Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection
by: Zheng, Haowen, et al.
Published: (2024)