[SDN]Stacked Deconvolutional Network for Semantic Segmentation
Abstract 暫時還放在arxiv上，沒有出版.中科院自動化所模式匹配國重的文章. 在本文看來，語義分割存在的主要問題是分辨率的降低導致物體細節和小物體損失，現在的很多方法都是致力於如何更好提高分辨率.本文於是提出了Stackecd Deconvolutional Network(SDN) Module來使用逐一堆疊的結構來集成上下文信息，更好地回覆局部信息。 Introduction Mot
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相關文章
- 1. DeconvNet：Learning Deconvolution Network for Semantic Segmentation
- 2. 語義分割--Global Deconvolutional Networks for Semantic Segmentation
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- 4. Pyramid Attention Network for Semantic Segmentation
- 5. Learning Deconvolution Network for Semantic Segmentation
- 6. PaperReading2-Pyramid Attention Network for Semantic Segmentation
- 7. BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
- 8. BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
- 9. 【論文閱讀】Learning Deconvolution Network for Semantic Segmentation
- 10. Learning Deconvolution Network for Semantic Segmentation 筆記