Describing Images Using Semantic Modeling with Attributes and Tags

Describing Images Using Semantic Modeling with Attributes and Tags

UCF CRCV via YouTube Direct link

SSR: Semantic Segmentation-based Pooling

8 of 31

8 of 31

SSR: Semantic Segmentation-based Pooling

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Describing Images Using Semantic Modeling with Attributes and Tags

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  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

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