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Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation

ICCV '15 Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), no. 1 (2015): 1742-1750

Cited: 1139|Views177
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Abstract

Deep convolutional neural networks (DCNNs) trained on a large number of images with strong pixel-level annotations have recently significantly pushed the state-of-art in semantic image segmentation. We study the more challenging problem of learning DCNNs for semantic image segmentation from either (1) weakly annotated training data such a...More

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