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Improved Residual Networks for Image and Video Recognition
時間 2021-08-15
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通過這篇文章對該論文進行的瞭解 更推崇上面這篇文章,因爲寫的很詳細 動機: 1.ResNet的主要結構是ResBlock塊,。ResNet的特定設計是爲了方便信息在網絡中進行前向傳播和反向傳播。每個ResBlock包含三個卷積(2個1×1和1個3×3),然後加3個ReLU層。會對負權值清零而對信息傳播帶來負面影響,尤其再剛開始訓練的時候,因爲會存在很多的負權值。 2.原始ResNet架構中,由於x
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相關文章
1.
ResNet升級版(1):IResNet | Improved Residual Networks for Image and Video Recognition
2.
【論文閱讀】Improved Residual Networks for Image and Video Recognition (iResNet)
3.
Improved Residual Networks for Image and Video Recognition 論文理解
4.
論文閱讀"Improved Residual Networks for Image and Video Recognition"
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Spatiotemporal Residual Networks for Video Action Recognition
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Spatially Adaptive Residual Networks for Efficient Image and Video Deblurring
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ResNet:Deep Residual for Image Recognition
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