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全日本コンピュータビジョン勉強会:Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

全日本コンピュータビジョン勉強会でのCVPR2020論文紹介です.

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全日本コンピュータビジョン勉強会:Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

  1. 1. l Ø Ø ² ² Ø ² ² ² Ø ² –
  2. 2. l Ø l Ø l Ø Ø l Ø ² ²
  3. 3. l Ø Ø l Ø Ø
  4. 4. l Ø Ø l Ø ² ²
  5. 5. l Ø ² ² Ø ² ² ²
  6. 6. l l
  7. 7. l !𝐴 = 𝐴 + 𝐼 𝑋("#$) = 𝜎 (𝐴𝑋(") Θ(") &𝐴 = )𝐷! ! " +𝐴)𝐷! ! " !𝐴の表現⽅法は ⾊々ある 隣接ノードの和 チャンネルの重み付け
  8. 8. l Ø ² ² Ø ² ² ²
  9. 9. l Ø ² Ø ²
  10. 10. l !𝐴(,) = !𝐴 ⋯ !𝐴 ⋮ ⋱ ⋮ !𝐴 ⋯ !𝐴 #𝐴 𝑋(,) ("#$) = 𝜎 -𝑨(𝝉) 𝑋(,) (") Θ(") 𝑋 𝜏 𝑑 𝜏
  11. 11. l Ø ² ² Ø ² ² ²
  12. 12. l Ø ² ² ² ²
  13. 13. l Ø ² – ² – ² 𝑋(()*) = 𝜎 $ ,-* . %𝑨 𝒌 𝑋(()Θ(,) (()
  14. 14. l Ø 𝑋(()*) = 𝜎 $ ,-* . %𝑨(𝒌) 𝑋(()Θ(,) (() (𝐴 , (𝑖, 𝑗) = / 1 𝑑 𝑖, 𝑗 = 𝑘 1 𝑖 = 𝑗 0 𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒
  15. 15. l Ø 𝑋(,) ("#$) = 𝜎 / ./$ 0 -𝑨 𝝉,𝒌 𝑋(,) " Θ(.) " 𝜏 𝑘𝜏 𝑘 𝐾
  16. 16. l 𝜏 𝑑𝜏 𝑑
  17. 17. l Ø Ø Ø Ø
  18. 18. l Ø ² ² Ø ² ² l Ø ²
  • YutoKawahara

    Nov. 30, 2020
  • gate007

    Aug. 6, 2020
  • MomokoMaezawa

    Jul. 21, 2020
  • kerotan7

    Jul. 18, 2020

全日本コンピュータビジョン勉強会でのCVPR2020論文紹介です.

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