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Aug, 2016
多路径反馈循环神经网络用于场景解析
Multi-Path Feedback Recurrent Neural Network for Scene Parsing
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Xiaojie Jin, Yunpeng Chen, Jiashi Feng, Zequn Jie, Shuicheng Yan
TL;DR
本研究提出一种新的MPF-RNN模型,通过多层反馈和多重加权循环结构,增强RNN建模长范围的上下文信息和识别易混淆像素的能力,此外还提出了考虑多次反馈的损失累积策略,从而在场景分割方面实现了比传统模型更优秀的性能表现。
Abstract
In this paper, we consider the
scene parsing
problem. We propose a novel \textbf{M}ulti-\textbf{P}ath \textbf{F}eedback recurrent neural network (MPF-
rnn
) to enhance the capability of RNNs on modeling long-range
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