語義分割--LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation https://arxiv.org/abs/1707.03718 Torch7 code: https://github.com/e-lab/LinkNet 本文主要側重語義分割的速度問題，算法思路類似 U-Net，引入了 residual
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相關文章
- 1. 【圖像分割論文閱讀】LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
- 2. 圖像分割「LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation」
- 3. LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation論文閱讀
- 4. 【語義分割】【總結】Object-Contextual Representations for Semantic Segmentation
- 5. 語義分割--Efficient and Robust Deep Networks for Semantic Segmentation
- 6. 【Semantic Segmentation】語義分割綜述
- 7. 語義分割--Understanding Convolution for Semantic Segmentation
- 8. 語義分割--Fully Convolutional DenseNets for Semantic Segmentation
- 9. 語義分割，ICNet for Real-Time Semantic Segmentation
- 10. 語義分割--Global Deconvolutional Networks for Semantic Segmentation