图像分割：LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
文章日期： 2019年 arXiv: https://arxiv.org/abs/1905.02423 github: https://github.com/xiaoyufenfei/LEDNet 今天看到一篇实时分割的文章，简洁明了，有较好的借鉴意义，所以记录分享一下。 创新点： 1：对残差块进行了优化，使用split和shuffle操作，参数量大幅降低，提升了前向的推理速度； 2：使用1x3，
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相关文章
- 1. LEDNET: A LIGHTWEIGHT ENCODER-DECODER NETWORK FOR REAL-TIME SEMANTIC SEGMENTATION
- 2. 《LEDNet：A Lightweight Encoder-Decoder Network For Real-Time Semantic Segmentation》论文笔记
- 3. 图像分割“Understanding Convolution for Semantic Segmentation”
- 4. BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
- 5. 18-Learning-a-Discriminative-Feature-Network-for-Semantic-Segmentation
- 6. Learning a Discriminative Feature Network for Semantic Segmentation
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- 8. DeconvNet：Learning Deconvolution Network for Semantic Segmentation
- 9. Learning Deconvolution Network for Semantic Segmentation
- 10. Pyramid Attention Network for Semantic Segmentation