3 papers
cs.LG2025
Imbalanced Classification through the Lens of Spurious Correlations
Jakob Hackstein, Sidney Bender
Class imbalance poses a fundamental challenge in machine learning, frequently leading to unreliable classification performance. While prior methods focus on data- or loss-reweighti…
cs.CV2025
SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models
Justus Westerhoff, Erblina Purelku, Jakob Hackstein +4
Typographic attacks exploit the interplay between text and visual content in multimodal foundation models, causing misclassifications when misleading text is embedded within images…
eess.IV2024
Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing
Jakob Hackstein, Gencer Sumbul, Kai Norman Clasen +1
Self-supervised learning through masked autoencoders (MAEs) has recently attracted great attention for remote sensing (RS) image representation learning, and thus embodies a signif…