A Simple Pooling-Based Design for Real-Time Salient Object Detection
這是一篇CVPR2019的文章 網絡結構如上圖所示，爲改進的FPN的「倒U」字結構。首先是VGG16或ResNet50結構形成的bottom-up pathway，然後再進行上採樣、特徵圖融合的up-down pathway。最終恢復到原輸入圖片大小，經過kernels=1的卷積層分類得到顯著性圖。 VGG16或者ResNet50降採樣形成1/2、1/4、1/8、1/16四個特徵圖 1、GGM(G
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相關文章
- 1. 【論文閱讀】A Simple Pooling-Based Design for Real-Time Salient Object Detection
- 2. A1: CVPR2019 A Simple Pooling-Based Design for Real-Time Salient Object Detection
- 3. A Simple Pooling-Based Design for Real-Time Salient Object Detection
- 4. A Simple Pooling-Based Design for Real-Time Salient Object Detection論文翻譯
- 5. A Simple Pooling-Based Design for Real-Time Salient Object Detection閱讀筆記
- 6. salient object detection
- 7. 顯著性檢測之A Simple Pooling-Based Design for Real-Time Salient Object Detection
- 8. 顯著性目標檢測之A Simple Pooling-Based Design for Real-Time Salient Object Detection
- 9. ECCV 2020預會議 直播筆記| Suppress and Balance: A Simple Gated Network for Salient Object Detection
- 10. Flow Guided Recurrent Neural Encoder for Video Salient Object Detection