4 papers
Correlation versus Causation in Quantum Criticality
Conrad Wichmann, Ryan Thorngren, Ruben Verresen
Correlation functions reveal scaling dimensions through spatial decay. We instead consider static susceptibility, the change in $\langle O_1(x) \ran…
PixCon: Clean-Positive Contrastive Learning for Foundation-Model Semi-Supervised Segmentation
Ebenezer Tarubinga
Semi-supervised semantic segmentation (SSSS) has long turned on one question, which pseudo-labels to trust, and answered it with ever more careful confidence filtering. Foundation…
FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation
Ebenezer Tarubinga, Jenifer Kalafatovich, Seong-Whan Lee
Semi-supervised semantic segmentation (SSSS) faces persistent challenges in effectively leveraging unlabeled data, such as ineffective utilization of pseudo-labels, exacerbation of…
CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
Ebenezer Tarubinga, Jenifer Kalafatovich, Seong-Whan Lee
Semi-supervised semantic segmentation (SSSS) aims to improve segmentation performance by utilizing large amounts of unlabeled data with limited labeled samples. Existing methods of…