40 citations · 55 across the 12 of their papers we have counts for
4 papers · 1 filter
Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving
Martin Feder, Michal Horovitz, Assaf Chen +2
We describe the lessons learned from targeting agricultural detection problem-solving, when subject to low resolution input maps, by means of Machine Learning-based super-resolutio…
Saliency Can Be All You Need In Contrastive Self-Supervised Learning
Veysel Kocaman, Ofer M. Shir, Thomas Bäck +1
We propose an augmentation policy for Contrastive Self-Supervised Learning (SSL) in the form of an already established Salient Image Segmentation technique entitled Global Contrast…
The Unreasonable Effectiveness of the Final Batch Normalization Layer
Veysel Kocaman, Ofer M. Shir, Thomas Baeck
Early-stage disease indications are rarely recorded in real-world domains, such as Agriculture and Healthcare, and yet, their accurate identification is critical in that point of t…
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study
Veysel Kocaman, Ofer M. Shir, Thomas Bäck
Some real-world domains, such as Agriculture and Healthcare, comprise early-stage disease indications whose recording constitutes a rare event, and yet, whose precise detection at…