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.CV2020
Full-Glow: Fully conditional Glow for more realistic image generation
Moein Sorkhei, Gustav Eje Henter, Hedvig Kjellström
Autonomous agents, such as driverless cars, require large amounts of labeled visual data for their training. A viable approach for acquiring such data is training a generative mode…