圖像分割：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 今天看到一篇實時分割的文章，簡潔明瞭，有較好的借鑑意義，所以記錄分享一下。 創新點： 1：對殘差塊進行了優化，使用split和shuffle操作，參數量大幅降低，提升了前向的推理速度； 2：使用1x3，
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相關文章
- 1. LEDNET: A LIGHTWEIGHT ENCODER-DECODER NETWORK FOR REAL-TIME SEMANTIC SEGMENTATION
- 2. 《LEDNet：A Lightweight Encoder-Decoder Network For Real-Time Semantic Segmentation》論文筆記
- 3. 圖像分割「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
- 7. 語義分割--(DFN)Learning a Discriminative Feature Network for Semantic Segmentation
- 8. DeconvNet：Learning Deconvolution Network for Semantic Segmentation
- 9. Learning Deconvolution Network for Semantic Segmentation
- 10. Pyramid Attention Network for Semantic Segmentation