【SegNet】 A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
日常吐槽 为什么明明英文论文动辄8,9页，十来页的，结果最后看人家翻译成中文，也并不多！！？？我还是看的很吃力？？ 反(上)卷积-反(上)池化-上采样 反卷积 Deconvolution 如上图的（a）。反卷积操作并不能还原出卷积之前的图片，只能还原出卷积之前图片的尺寸。那么到底反卷积有什么作用呢？通过反卷积可以用来可视化卷积的过程，反卷积在GAN等领域中有着大量的应用。 反池化 Unpool
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- 4. 论文阅读笔记：《SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation》
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- 6. 论文笔记：SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- 7. 【论文阅读】SegNet A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- 8. 语义分割-- SegNet：A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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相关文章
- 1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- 2. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation----2016 SegNet论文解读
- 3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation 视频语义分割
- 4. 论文阅读笔记：《SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation》
- 5. 【阅读笔记】《SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation》
- 6. 论文笔记：SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- 7. 【论文阅读】SegNet A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- 8. 语义分割-- SegNet：A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- 9. TPAMI2017 SegNet：A Deep Convolutional Encoder-Decoder Architecture for Scene Segmentation
- 10. [论文翻译]UNet++: A Nested U-Net Architecture for Medical Image Segmentation