BriefGPT.xyz
Aug, 2020
语义分割的张量低秩重建
Tensor Low-Rank Reconstruction for Semantic Segmentation
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Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li...
TL;DR
本文提出了一种新的方法来建模三维上下文表示,该方法不仅避免了空间压缩,而且还解决了高秩困难问题。通过引入张量典范-解析分解理论,设计了一种低秩到高秩的上下文重构框架,实现了比传统的非局部方法更少百倍计算成本的最新技术。
Abstract
Context information plays an indispensable role in the success of
semantic segmentation
. Recently,
non-local self-attention
based methods are proved to be effective for context information collection. Since the d
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