Fully convolutional networks for semantic segmentation bibtex
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Fully convolutional neural networks (FCNNs) trained on a large number of images with strong pixel-level annotations have become the new state of the art for the semantic segmentation task. While there have been recent attempts to learn FCNNs from image-level weak annotations , they need additional constraints, such as the size of an object , to obtain reasonable performance.
Bibliographic details on BibTeX record conf/cvpr/LongSD15 What do you think of dblp? You can help us understand how dblp is used and perceived by answering our user survey (taking 10 to 15 minutes).