Cover Image

Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lilja, Adam, Fu, Junsheng, Stenborg, Erik, Hammarstrand, Lars
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

Exploring Semi-Supervised Learning for Online Mapping
by: Lilja, Adam, et al.
Published: (2024)

Beyond Chamfer Distance: Granular Order-aware Evaluation Metric For Online Mapping
by: Lehocine, Chouaib Bencheikh, et al.
Published: (2026)

QueryOcc: Query-based Self-Supervision for 3D Semantic Occupancy
by: Lilja, Adam, et al.
Published: (2025)

GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving
by: Ljungbergh, William, et al.
Published: (2025)

NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds
by: Rafidashti, Mahan, et al.
Published: (2025)

Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap
by: Lindström, Carl, et al.
Published: (2024)

ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
by: Wallin, Erik, et al.
Published: (2025)

Semi-Supervised Hierarchical Open-Set Classification
by: Wallin, Erik, et al.
Published: (2026)

ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
by: Wallin, Erik, et al.
Published: (2024)

Data Leakage in Visual Datasets
by: Ramos, Patrick, et al.
Published: (2025)

PromptFix: You Prompt and We Fix the Photo
by: Yu, Yongsheng, et al.
Published: (2024)

Driving with Context: Online Map Matching for Complex Roads Using Lane Markings and Scenario Recognition
by: Bi, Xin, et al.
Published: (2025)

Find the Leak, Fix the Split: Cluster-Based Method to Prevent Leakage in Video-Derived Datasets
by: Glazner, Noam, et al.
Published: (2025)

IDSplat: Instance-Decomposed 3D Gaussian Splatting for Driving Scenes
by: Lindström, Carl, et al.
Published: (2025)

Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets
by: Adimoolam, Yeshwanth Kumar, et al.
Published: (2023)

How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis
by: Rumala, Dewinda Julianensi
Published: (2023)

SMPL Normal Map Is All You Need for Single-view Textured Human Reconstruction
by: Shen, Wenhao, et al.
Published: (2025)

Exchange Is All You Need for Remote Sensing Change Detection
by: Dong, Sijun, et al.
Published: (2026)

GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets
by: Oehri, Sven, et al.
Published: (2024)

FixTalk: Taming Identity Leakage for High-Quality Talking Head Generation in Extreme Cases
by: Tan, Shuai, et al.
Published: (2025)

MapAnything: Evaluating Monocular Metric Depth Models for 3D Urban Asset Localization
by: Carnot, Miriam Louise, et al.
Published: (2025)

Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model
by: Bui, Phuoc-Nguyen, et al.
Published: (2025)

LGmap: Local-to-Global Mapping Network for Online Long-Range Vectorized HD Map Construction
by: Wu, Kuang, et al.
Published: (2024)

Pairwise Comparisons Are All You Need
by: Chahine, Nicolas, et al.
Published: (2024)

OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging
by: Han, Zihao, et al.
Published: (2025)

Location Is All You Need: Continuous Spatiotemporal Neural Representations of Earth Observation Data
by: Madadikhaljan, Mojgan, et al.
Published: (2026)

Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping
by: Zhou, Junsheng, et al.
Published: (2024)

FineVision: Open Data Is All You Need
by: Wiedmann, Luis, et al.
Published: (2025)

Self-supervised Dataset Distillation: A Good Compression Is All You Need
by: Zhou, Muxin, et al.
Published: (2024)

Reasoning is All You Need for Video Generalization: A Counterfactual Benchmark with Sub-question Evaluation
by: Zhou, Qiji, et al.
Published: (2025)

ParameterNet: Parameters Are All You Need
by: Han, Kai, et al.
Published: (2023)

PRNet: Original Information Is All You Have
by: Zheng, PeiHuang, et al.
Published: (2025)

Surgical Tattoos in Infrared: A Dataset for Quantifying Tissue Tracking and Mapping
by: Schmidt, Adam, et al.
Published: (2023)

Is Discretization Fusion All You Need for Collaborative Perception?
by: Yang, Kang, et al.
Published: (2025)

Attention Is All You Need For Mixture-of-Depths Routing
by: Gadhikar, Advait, et al.
Published: (2024)

Sparse Prior Is Not All You Need: When Differential Directionality Meets Saliency Coherence for Infrared Small Target Detection
by: Zhou, Fei, et al.
Published: (2024)

Validating Vision Transformers for Otoscopy: Performance and Data-Leakage Effects
by: Ndubuisi, James, et al.
Published: (2025)

Impact of Localization Errors on Label Quality for Online HD Map Construction
by: Blumberg, Alexander, et al.
Published: (2026)

EgoHDM: An Online Egocentric-Inertial Human Motion Capture, Localization, and Dense Mapping System
by: Liu, Bonan, et al.
Published: (2024)

Positive Label Is All You Need for Multi-Label Classification
by: Yuan, Zhixiang, et al.
Published: (2023)