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Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

Creator:

Aziere, Nicolas

Abstract:

This paper addresses the high model complexity and overconfident frame labeling of state-of-the-art (SOTA) action segmenters. Their complexity is typically justified by the need to sequentially refine action segmentation through multiple stages of a deep architecture. However, this multistage refinement does not take into account uncertainty of frame labeling predicted...

Resource Type:

Dissertation

Full Text:

with a learnable diffusion. Our main contribution in (1) is a new model which integrates convolutional
Effect of Oregon’s Coordinated Care Organizations on Healthcare Utilization and Maternal and Neonatal Outcomes Among Low-income Women with Chronic Mental-Physical Comorbidities

Creator:

Masoumirad, Mandana

Abstract:

Background: The number of people diagnosed with chronic physical conditions is increasing in the United States. Chronic mental illnesses are also common in the country. Low-income women and those on Medicaid bear a disproportionate burden of chronic conditions and these conditions significantly contribute to obstetric morbidity. Prioritizing preventive measures and...

Resource Type:

Dissertation

Full Text:

. Low-income women and those on Medicaid bear a disproportionate burden of chronic conditions and