Deep Representation Learning for Domain Adaptation of Semantic Image Segmentation
arXiv: Computer Vision and Pattern Recognition, Volume abs/1805.04141, 2018.
Deep Convolutional Neural Networks have pushed the state-of-the art for semantic segmentation provided that a large amount of images together with pixel-wise annotations is available. Data collection is expensive and a solution to alleviate it is to use transfer learning. This reduces the amount of annotated data required for the network ...More
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