Dual Super-Resolution Learning for Semantic Segmentatio || CVPR2020
Dual Super-Resolution Learning for Semantic Segmentatio 用於語義分割的雙超分辨率學習 Abstract： 當前的語義分割通常使用高分辨率輸入來獲得好的效果，但需要巨大的計算資源受設備的限制。**本文我們提出了一個簡單靈活的 two-stream framework 方法，叫做 Dual Super-Resolution Learning （D
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相關文章
- 1. [DIS]Deep Dual Learning for Semantic Image Segmentation
- 2. 深度學習——Dual Super-Resolution Learning
- 3. 語義分割之Dual Super-Resolution Learning for Semantic Segmentation
- 4. dual learning for machine translation
- 5. 語義分割--Deep Dual Learning for Semantic Image Segmentation
- 6. CVPR2020-圖像超分辨率與語義分割結合，提升2-3個點 | Dual Super-Resolution Learning for Semantic Segmentation
- 7. Squeeze-and-Attention Networks for Semantic Segmentation | CVPR2020
- 8. RCNN : Rich feature hierarchies for accurate object detection and semantic segmentatio 解讀
- 9. 《Learning Dynamic Routing for Semantic Segmentation》
- 10. Learning Deconvolution Network for Semantic Segmentation