DeepLab V3+——Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
在DeepLab V3+中通過採用了encoder-decoder結構，在DeepLab V3中加入了一個簡單有效的decoder模塊來改善物體邊緣的分割結果。除此之外還嘗試使用Xception作爲encoder，在Atrous Spatial Pyramid Pooling和decoder中應用depth-wise separable convolution得到了更快精度更高的網絡，在PASCA
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相關文章
- 1. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation (DeepLab v3+) 論文筆記
- 2. 《DeepLab v3+：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation》論文筆記
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- 10. 【閱讀筆記】《Rethinking Atrous Convolution for Semantic Image Segmentation》（DeepLab v3）