3 papers
cs.CV2024
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
Bharadwaj Ravichandran, Alexander Lynch, Sarah Brockman +4
Both few-shot learning and domain adaptation sub-fields in Computer Vision have seen significant recent progress in terms of the availability of state-of-the-art algorithms and dat…
cs.CV2023
EscherNet 101
Christopher Funk, Yanxi Liu
A deep learning model, EscherNet 101, is constructed to categorize images of 2D periodic patterns into their respective 17 wallpaper groups. Beyond evaluating EscherNet 101 perform…
cs.CV2023
Open Set Action Recognition via Multi-Label Evidential Learning
Chen Zhao, Dawei Du, Anthony Hoogs +1
Existing methods for open-set action recognition focus on novelty detection that assumes video clips show a single action, which is unrealistic in the real world. We propose a new…