[ParseNet]ParseNet: Looking Wider to See Better
Abstract 北卡罗纳大学教堂山分校的文章， ICLR 2016. 本文的 Movitation 是看到FCN并没有结合全局信息，所以没有利用潜在的scene-level的语义上下文特征，所以提出一种结合average feature的网络结构来提高分割性能，最终在SiftFlow和PASCAL-Context上达到了SOTA, 在PASCAL VOC 2012上接近SOTA(Deeplab
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相关文章
- 1. 论文笔记：ParseNet: Looking Wider to See Better
- 2. See Better Before Looking Closer WSDAN
- 3. See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visu
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- 6. Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification
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