Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Launchpad via YouTube Direct link

Intro

1 of 13

1 of 13

Intro

Class Central Classrooms beta

YouTube playlists curated by Class Central.

Classroom Contents

Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 Shape vs. Texture Bias
  3. 3 Why Texture Bias could cause problems?
  4. 4 How does the dataset influence texture or shape bias?
  5. 5 Geirhos Style Transfer cat
  6. 6 Does the model know about shape even though it's talking about texture?
  7. 7 Alexnet Layers
  8. 8 Effects of Training Objective
  9. 9 Training Objective Results
  10. 10 High Performing ImageNet Models
  11. 11 Shape Bias in (more) "Brain-like" Models
  12. 12 Effects of pre-processing (random vs. center crop)
  13. 13 How do hyper parameters influence shape bias?

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.