From the 1 of 25 linked papers with an AI index.
8 papers · 1 filter
Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation
Qin Wang, Alessio Quercia, Benjamin Bruns +3
Self-supervised learning (SSL) methods have achieved remarkable success in learning image representations allowing invariances in them - but therefore discarding transformation inf…
How To Make Your Cell Tracker Say "I dunno!"
Richard D. Paul, Johannes Seiffarth, David Rügamer +2
Cell tracking is a key computational task in live-cell microscopy, but fully automated analysis of high-throughput imaging requires reliable and, thus, uncertainty-aware data analy…
1LoRA: Summation Compression for Very Low-Rank Adaptation
Alessio Quercia, Zhuo Cao, Arya Bangun +4
Parameter-Efficient Fine-Tuning (PEFT) methods have transformed the approach to fine-tuning large models for downstream tasks by enabling the adjustment of significantly fewer para…
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
Alessio Quercia, Erenus Yildiz, Zhuo Cao +4
Monocular depth estimation (MDE) is a challenging task in computer vision, often hindered by the cost and scarcity of high-quality labeled datasets. We tackle this challenge using…
Equivariant Representation Learning for Augmentation-based Self-Supervised Learning via Image Reconstruction
Qin Wang, Kai Krajsek, Hanno Scharr
Augmentation-based self-supervised learning methods have shown remarkable success in self-supervised visual representation learning, excelling in learning invariant features but of…
Retrieval of sun-induced plant fluorescence in the O-A absorption band from DESIS imagery
Jim Buffat, Miguel Pato, Kevin Alonso +7
We provide the first method allowing to retrieve spaceborne SIF maps at 30 m ground resolution with a strong correlation () to high-quality airborne estimates of sun-induc…