Pyramid Feature Attention Network for Saliency detection 論文解讀
Pyramid Feature Attention Network for Saliency detection //CVPR 2019論文解讀 提出的問題: Pooling層在降低feature map的同時，顯著物體的邊界也變得模糊 現有解決方法： 引入手工特徵來保留邊界 整合multi-level+multi-scale特徵，深層包含全局上下文特徵（準確定位顯著物體位置），淺層包含空間結構特
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相關文章
- 1. 《Pyramid Feature Attention Network for Saliency detection》閱讀筆記
- 2. 顯著性檢測之Pyramid Feature Attention Network for Saliency detection
- 3. AC-FPN論文詳解：Attention-guided Context Feature Pyramid Network for Object Detection
- 4. Parallel Feature Pyramid Network for Object Detection
- 5. 【Feature Pyramid】《Deep Feature Pyramid Reconfiguration for Object Detection》
- 6. Object Detection -- 論文FPN(Feature Pyramid Networks for Object Detection)解讀
- 7. 論文筆記（十）-MULTI-PATH FEATURE FUSION NETWORK FOR SALIENCY DETECTION
- 8. 論文解讀之Feature Pyramid Networks for Object Detection
- 9. Deep Feature Pyramid Reconfiguration for Object Detection
- 10. Feature Pyramid Networks for Object Detection 閱讀筆記