:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hubbertz, Michael, Han, Qi, Meisen, Tobias
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2603.19852
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inferring Driving Maps by Deep Learning-based Trail Map Extraction
by: Hubbertz, Michael, et al.
Published: (2025)

Fantastic Copyrighted Beasts and How (Not) to Generate Them
by: He, Luxi, et al.
Published: (2024)

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone
by: Hassanpour, Negar, et al.
Published: (2025)

Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation
by: Ghaznavi, Mahdi, et al.
Published: (2024)

SatMap: Revisiting Satellite Maps as Prior for Online HD Map Construction
by: Mazumder, Kanak, et al.
Published: (2026)

R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
by: Yang, Qi, et al.
Published: (2025)

Toward Stable World Models: Measuring and Addressing World Instability in Generative Environments
by: Kwon, Soonwoo, et al.
Published: (2025)

One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications
by: Lyu, Mengyao, et al.
Published: (2023)

Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them
by: Bui, Anh, et al.
Published: (2025)

NavMapFusion: Diffusion-based Fusion of Navigation Maps for Online Vectorized HD Map Construction
by: Monninger, Thomas, et al.
Published: (2025)

MemFusionMap: Working Memory Fusion for Online Vectorized HD Map Construction
by: Song, Jingyu, et al.
Published: (2024)

Graph Query Networks for Object Detection with Automotive Radar
by: Saini, Loveneet, et al.
Published: (2025)

Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning
by: Yu, Yang, et al.
Published: (2023)

DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving
by: Dagdanov, Resul, et al.
Published: (2022)

Addressing Negative Transfer in Diffusion Models
by: Go, Hyojun, et al.
Published: (2023)

Deep Learning-Based Tracking and Lineage Reconstruction of Ligament Breakup
by: Ahire, Vrushank, et al.
Published: (2026)

MapDiffusion: Generative Diffusion for Vectorized Online HD Map Construction and Uncertainty Estimation in Autonomous Driving
by: Monninger, Thomas, et al.
Published: (2025)

Leveraging Image Generators to Address Training Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping
by: Jeanson, Gabriel, et al.
Published: (2026)

LIE: LiDAR-only HD Map Construction with Intensity Enhancement via Online Knowledge Distillation
by: Mazumder, Kanak, et al.
Published: (2026)

Learning Equi-angular Representations for Online Continual Learning
by: Seo, Minhyuk, et al.
Published: (2024)

An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
by: Siomos, Vasilis, et al.
Published: (2024)

Natural Gradient Descent for Online Continual Learning
by: Khawand, Joe, et al.
Published: (2026)

InCaRPose: In-Cabin Relative Camera Pose Estimation Model and Dataset
by: Stillger, Felix, et al.
Published: (2026)

Slowing Down Forgetting in Continual Learning
by: Janetzky, Pascal, et al.
Published: (2024)

Deep Learning in Cardiology
by: Bizopoulos, Paschalis, et al.
Published: (2019)

On the Geometry of Deep Learning
by: Balestriero, Randall, et al.
Published: (2024)

Automating Parameter Selection in Deep Image Prior for Fluorescence Microscopy Image Denoising via Similarity-Based Parameter Transfer
by: Meyer, Lina, et al.
Published: (2026)

Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy
by: Dereka, Stanislav, et al.
Published: (2023)

The Lie Derivative for Measuring Learned Equivariance
by: Gruver, Nate, et al.
Published: (2022)

Science-T2I: Addressing Scientific Illusions in Image Synthesis
by: Li, Jialuo, et al.
Published: (2025)

Measuring the (Un)Faithfulness of Concept-Based Explanations
by: Kumar, Shubham, et al.
Published: (2025)

Adaptive Confidence Regularization for Multimodal Failure Detection
by: Liu, Moru, et al.
Published: (2026)

AugMapNet: Improving Spatial Latent Structure via BEV Grid Augmentation for Enhanced Vectorized Online HD Map Construction
by: Monninger, Thomas, et al.
Published: (2025)

Deep Convolutional Neural Networks for Palm Fruit Maturity Classification
by: Han, Mingqiang, et al.
Published: (2025)

ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories
by: Yang, Qianlan, et al.
Published: (2024)

Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
by: Loeffler, Christoffer, et al.
Published: (2022)

A Deep U-Net Framework for Flood Hazard Mapping Using Hydraulic Simulations of the Wupper Catchment
by: Lammers, Christian, et al.
Published: (2026)

PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
by: Ma'sum, M. Anwar, et al.
Published: (2025)

Visual Structures Helps Visual Reasoning: Addressing the Binding Problem in VLMs
by: Izadi, Amirmohammad, et al.
Published: (2025)

How Diffusion Models Learn to Factorize and Compose
by: Liang, Qiyao, et al.
Published: (2024)