STC : A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation
Recently, significant improvement has been made on semantic object segmentation due to the development of deep convolutional neural networks (DCNNs). Training such a DCNN usually relies on a large number of images with pixel-level segmentation masks, and annotating these images is very costly in ter...
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 39(2017), 11 vom: 15. Nov., Seite 2314-2320 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2017
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
Schlagworte: | Journal Article Research Support, Non-U.S. Gov't |
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