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Long et al., 2015 - Google Patents

Fully convolutional networks for semantic segmentation

Long et al., 2015

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Document ID
16635967164511657165
Author
Long J
Shelhamer E
Darrell T
Publication year
Publication venue
Proceedings of the IEEE conference on computer vision and pattern recognition

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Snippet

Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, exceed the state-of-the-art in semantic segmentation. Our key insight is to build" fully …
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    • G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
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