Cover Image

Zero-Shot Cross-City Generalization in End-to-End Autonomous Driving: Self-Supervised versus Supervised Representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Naeinian, Fatemeh, Hamza, Ali, Zhu, Haoran, Choromanska, Anna
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision
by: Xu, Yi, et al.
Published: (2024)

Self-Supervised JEPA-based World Models for LiDAR Occupancy Completion and Forecasting
by: Zhu, Haoran, et al.
Published: (2026)

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving
by: Guan, Yanchen, et al.
Published: (2025)

DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2025)

Data Scaling Laws for End-to-End Autonomous Driving
by: Naumann, Alexander, et al.
Published: (2025)

Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection
by: Zhu, Haoran, et al.
Published: (2025)

CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention
by: Tang, Jiacheng, et al.
Published: (2026)

Interpretable Decision-Making for End-to-End Autonomous Driving
by: Mirzaie, Mona, et al.
Published: (2025)

OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving
by: Xing, Shuo, et al.
Published: (2024)

TransDiffuser: Diverse Trajectory Generation with Decorrelated Multi-modal Representation for End-to-end Autonomous Driving
by: Jiang, Xuefeng, et al.
Published: (2025)

Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems
by: Dimlioglu, Tolga, et al.
Published: (2026)

Transcoda: End-to-End Zero-Shot Optical Music Recognition via Data-Centric Synthetic Training
by: Dratschuk, Daniel, et al.
Published: (2026)

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)

SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
by: Sun, Wenchao, et al.
Published: (2024)

EXAONE Path 2.0: Pathology Foundation Model with End-to-End Supervision
by: Pyeon, Myeongjang, et al.
Published: (2025)

See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selection
by: Mallak, Amir, et al.
Published: (2026)

Centaur: Robust End-to-End Autonomous Driving with Test-Time Training
by: Sima, Chonghao, et al.
Published: (2025)

EMMA: End-to-End Multimodal Model for Autonomous Driving
by: Hwang, Jyh-Jing, et al.
Published: (2024)

PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving
by: Wozniak, Maciej K., et al.
Published: (2025)

IConE: Batch Independent Collapse Prevention for Self-Supervised Representation Learning
by: Almpanakis, Konstantinos, et al.
Published: (2026)

Can Generative Models Improve Self-Supervised Representation Learning?
by: Ayromlou, Sana, et al.
Published: (2024)

End-to-end Autonomous Driving: Challenges and Frontiers
by: Chen, Li, et al.
Published: (2023)

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning
by: Ghofrani, Fatemeh, et al.
Published: (2025)

DINO Pre-training for Vision-based End-to-end Autonomous Driving
by: Juneja, Shubham, et al.
Published: (2024)

Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving
by: Ivanovic, Boris, et al.
Published: (2025)

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning
by: Lowe, Scott C., et al.
Published: (2026)

Addressing the Waypoint-Action Gap in End-to-End Autonomous Driving via Vehicle Motion Models
by: Rodríguez-Vidal, Jorge Daniel, et al.
Published: (2026)

What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving
by: Zhou, Hongkuan, et al.
Published: (2023)

Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
by: Liang, Jiachen, et al.
Published: (2024)

Seeing the Whole in the Parts in Self-Supervised Representation Learning
by: Aubret, Arthur, et al.
Published: (2025)

Semantic Concentration for Self-Supervised Dense Representations Learning
by: Wen, Peisong, et al.
Published: (2025)

InsightDrive: Insight Scene Representation for End-to-End Autonomous Driving
by: Song, Ruiqi, et al.
Published: (2025)

Hidden Biases of End-to-End Driving Datasets
by: Zimmerlin, Julian, et al.
Published: (2024)

CLAP: Contrastive Latent-space Prompt Optimization for End-to-end Autonomous Driving
by: Zhu, Ruiyang, et al.
Published: (2026)

End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning
by: Elmekki, Hanae, et al.
Published: (2025)

Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
by: Feng, Hao, et al.
Published: (2024)

GUESS: Generative Uncertainty Ensemble for Self Supervision
by: Mohamadi, Salman, et al.
Published: (2024)

On the Generalization and Causal Explanation in Self-Supervised Learning
by: Qiang, Wenwen, et al.
Published: (2024)

Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
by: Pourmirzaei, Mahdi, et al.
Published: (2021)

End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer
by: Chu, Wenda, et al.
Published: (2026)