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Esther Robb

2 accepted papers

2021

DropLoss for Long-Tail Instance Segmentation

AAAI 2021technical

Long-tailed class distributions are prevalent among the practical applications of object detection and instance segmentation. Prior work in long-tail instance segmentation addresses the imbalance of losses between rare and frequent categories by reducing the penalty for a model incorrectly predictin…

2020

NAS-DIP: Learning Deep Image Prior with Neural Architecture Search

ECCV 2020poster

Recent work has shown that the structure of deep convolutional neural networks can be used as a structured image prior for solving various inverse image restoration tasks. Instead of using hand-designed architectures, we propose to search for neural architectures that capture stronger image priors.…