1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Learning from Offline Foundation Features with Tensor Augmentations
Emir Konuk, Christos Matsoukas, Moein Sorkhei +2
We introduce Learning from Offline Foundation Features with Tensor Augmentations (LOFF-TA), an efficient training scheme designed to harness the capabilities of foundation models i…
cs.CV2023★ 1 cited
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation
Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius +1
High Content Imaging (HCI) plays a vital role in modern drug discovery and development pipelines, facilitating various stages from hit identification to candidate drug characteriza…