Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior - Spring 2021

Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior - Spring 2021

UCF CRCV via YouTube Direct link

(Method) Adversarial Optimization

11 of 19

11 of 19

(Method) Adversarial Optimization

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Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior - Spring 2021

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  1. 1 Intro
  2. 2 Paper details
  3. 3 Problem Formulation
  4. 4 Method: Overview
  5. 5 Method: Motion-Excited Sampler
  6. 6 Method: Motion Excited Sampling
  7. 7 Method: Motion Calculation
  8. 8 Method: Gradient Estimation - Formulation
  9. 9 Method: Gradient Estimation - Big Idea
  10. 10 Method: Gradient Estimation - Algorithm
  11. 11 (Method) Adversarial Optimization
  12. 12 (Method) loss function
  13. 13 (Results) Model Accuracy
  14. 14 (Results) Effectiveness of using motion
  15. 15 (Results) Visualizing Motion Vectors
  16. 16 (Results) Main Results
  17. 17 (Results) Ablation study
  18. 18 Summary
  19. 19 Against

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