Describing Images Using Semantic Modeling with Attributes and Tags

Describing Images Using Semantic Modeling with Attributes and Tags

UCF CRCV via YouTube Direct link

What Makes a Selfie Popular?

15 of 31

15 of 31

What Makes a Selfie Popular?

Class Central Classrooms beta

YouTube playlists curated by Class Central.

Classroom Contents

Describing Images Using Semantic Modeling with Attributes and Tags

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

  1. 1 Intro
  2. 2 Overview
  3. 3 Framework
  4. 4 Weighted Multi-view Non-negative Matrix Factorizatic
  5. 5 Summary
  6. 6 Methodology
  7. 7 SSG: Semantic Segmentation-based Gating
  8. 8 SSR: Semantic Segmentation-based Pooling
  9. 9 Experiments
  10. 10 Results
  11. 11 A unified view to SSP and SSG
  12. 12 Research Objectives
  13. 13 Selfie Dataset
  14. 14 Attribute Prediction
  15. 15 What Makes a Selfie Popular?
  16. 16 Sentiment-Popularity Correlation
  17. 17 Effect of Post-processing on Popularity
  18. 18 Introduction
  19. 19 Related Work
  20. 20 Proposed Method
  21. 21 Kernels from Generative Probability Models
  22. 22 Fisher Vector of Gaussian Distribution
  23. 23 Motivation
  24. 24 Fisher Vector of Gaussian Mixture Model
  25. 25 Mixture Normalization
  26. 26 Inception-V3
  27. 27 DenseNet
  28. 28 Deep Convolutional GAN
  29. 29 Computational Complexity Analysis
  30. 30 Conclusion
  31. 31 Future Work

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.