daily paper系列1: ExFuse: Enhancing Feature Fusion for Semantic Segmentation
ExFuse: Enhancing Feature Fusion for Semantic Segmentation https://arxiv.org/pdf/1804.03821.pdf Face++ 出品 Q note 2018.4.19 摘要 簡單地融合高低層次特徵並不是很有效率,這裏提出將分割信息加入低層次特徵,將空間信息引入高層次特徵,能把分割質量提高4.0%. Introductio
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- 1. ExFuse- Enhancing Feature Fusion for Semantic Segmentation筆記
- 2. 論文閱讀 - ExFuse: Enhancing Feature Fusion for Semantic Segmentation
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- 4. 【Semantic Segmentation】語義分割綜述
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相關文章
- 1. ExFuse- Enhancing Feature Fusion for Semantic Segmentation筆記
- 2. 論文閱讀 - ExFuse: Enhancing Feature Fusion for Semantic Segmentation
- 3. [深度學習論文筆記][arxiv 1804]ExFuse: Enhancing Feature Fusion for Semantic Segmentation
- 4. 【Semantic Segmentation】語義分割綜述
- 5. Semantic Segmentation---DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation（論文解讀十）
- 6. Rich feature hierarchies for accurate object detection and semantic segmentation
- 7. RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation
- 8. Learning a Discriminative Feature Network for Semantic Segmentation
- 9. 18-Learning-a-Discriminative-Feature-Network-for-Semantic-Segmentation
- 10. 《Understanding Convolution for Semantic Segmentation》