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物體檢測「DSOD: Learning Deeply Supervised Object Detectors from Scratch」
時間 2021-01-02
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code: https://github.com/szq0214/DSOD 亮點是不需要使用ImageNet預訓練,設計了一些訓練的準則,一個是深度監督(deep supervision),由DenseNet得到緻密的層級連接想法,基於不需要proposal的考慮,選取SSD作爲改進的基本版本。 DSOD 1. DSOD框架 與SSD類似,是一個多尺度不需要proposal的檢測框架。網絡有兩個子
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相關文章
1.
DSOD: Learning Deeply Supervised Object Detectors from Scratch
2.
DSOD: Learning Deeply Supervised Object Detectors from Scratch
3.
Reading Note: DSOD: Learning Deeply Supervised Object Detectors from Scratch
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目標檢測(target detection) DSOD: Learning Deeply Supervised Object Detectors from Scratch
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DSOD: Learning Deeply Supervised Object Detectors from Scratch 論文筆記
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DSOD: Learning Deeply Supervised Object Detectors from Scratch 論文解讀
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