Describing Images Using Semantic Modeling with Attributes and Tags
University of Central Florida via YouTube
Overview
Syllabus
Intro
Overview
Framework
Weighted Multi-view Non-negative Matrix Factorizatic
Summary
Methodology
SSG: Semantic Segmentation-based Gating
SSR: Semantic Segmentation-based Pooling
Experiments
Results
A unified view to SSP and SSG
Research Objectives
Selfie Dataset
Attribute Prediction
What Makes a Selfie Popular?
Sentiment-Popularity Correlation
Effect of Post-processing on Popularity
Introduction
Related Work
Proposed Method
Kernels from Generative Probability Models
Fisher Vector of Gaussian Distribution
Motivation
Fisher Vector of Gaussian Mixture Model
Mixture Normalization
Inception-V3
DenseNet
Deep Convolutional GAN
Computational Complexity Analysis
Conclusion
Future Work
Taught by
UCF CRCV