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Models/c-SkeletonGAN

c-SkeletonGAN

Reported on 8 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Robots4 results

  • Activity RecognitiononNTU RGB+D 2D
    MMDa (CS)· 2019-12-21
    0.338
    best: 0.698 (SkeletonGAN)
    Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent TransitionsarXiv:1912.10150
  • Activity RecognitiononNTU RGB+D 2D
    MMDa (CV)· 2019-12-21
    0.371
    best: 0.999 (SkeletonGAN)
    Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent TransitionsarXiv:1912.10150
  • Activity RecognitiononNTU RGB+D 2D
    MMDs (CS)· 2019-12-21
    0.402
    best: 0.788 (SkeletonGAN)
    Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent TransitionsarXiv:1912.10150
  • Activity RecognitiononNTU RGB+D 2D
    MMDs (CV)· 2019-12-21
    0.398
    best: 1.311 (SkeletonGAN)
    Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent TransitionsarXiv:1912.10150

Computer Vision4 results

  • Human action generationonNTU RGB+D 2D
    MMDa (CS)· 2019-12-21
    0.338
    best: 0.698 (SkeletonGAN)
    Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent TransitionsarXiv:1912.10150
  • Human action generationonNTU RGB+D 2D
    MMDa (CV)· 2019-12-21
    0.371
    best: 0.999 (SkeletonGAN)
    Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent TransitionsarXiv:1912.10150
  • Human action generationonNTU RGB+D 2D
    MMDs (CS)· 2019-12-21
    0.402
    best: 0.788 (SkeletonGAN)
    Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent TransitionsarXiv:1912.10150
  • Human action generationonNTU RGB+D 2D
    MMDs (CV)· 2019-12-21
    0.398
    best: 1.311 (SkeletonGAN)
    Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent TransitionsarXiv:1912.10150