復現Deeply Supervised Salient Object Detection with Short Connections過程（附tensorflow+python代碼）
趁着週末，把自己上週復現的paper CVPR 2017 「Deeply Supervised Salient Object Detection with Short Connections」寫下來，以便以後加深影像。 數據部分來自於項目的數據，所以並沒有用論文中的原始數據測試和論文中的結果的差別。我會在文章結尾放出github地址，如果大家有興趣，可以去跑一下論文裏面的數據看看。 主要是基於HE
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相關文章
- 1. Deeply Supervised Salient Object Detection with Short Connections在自己數據集上訓練（tensorflow版本）
- 2. salient object detection
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- 4. Reading Note: DSOD: Learning Deeply Supervised Object Detectors from Scratch
- 5. 目標檢測(target detection) DSOD: Learning Deeply Supervised Object Detectors from Scratch
- 6. 顯著性檢測之Salient Object Detection with Pyramid Attention and Salient Edges
- 7. DSOD： Learning Deeply Supervised Object Detectors from Scratch
- 8. Object Detection(目標檢測論文、代碼資源整合)
- 9. Nested Network with Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images
- 10. Object Detection(目標檢測神文)