2 papers
cs.CV2026
A Probabilistic Framework for Improving Dense Object Detection in Underwater Image Data via Annealing-Based Data Augmentation
Eleanor Wiesler, Trace Baxley
Object detection models typically perform well on images captured in controlled environments with stable lighting, water clarity, and viewpoint, but their performance degrades subs…
cs.LG2026
Graph Neural Network-Informed Predictive Flows for Faster Ford-Fulkerson and PAC-Learnability
Eleanor Wiesler, Trace Baxley
We propose a learning-augmented framework for accelerating max-flow computation and image segmentation by integrating Graph Neural Networks (GNNs) with the Ford-Fulkerson algorithm…