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Jun, 2015
消息传递推理中的深度学习
Deeply Learning the Messages in Message Passing Inference
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Guosheng Lin, Chunhua Shen, Ian Reid, Anton van den Hengel
TL;DR
本文提出了一种新的有效的深层结构模型学习方法,使用卷积神经网络估计条件随机场中的信息以进行结构化预测,并在语义图像分割任务中获得了最佳结果。
Abstract
Deep structured output learning shows great promise in tasks like
semantic image segmentation
. We proffer a new, efficient deep structured model learning scheme, in which we show how deep
convolutional neural networks
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