Completed
Algorithm
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Video Content Understanding Using Text
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Motivation
- 3 Challenges
- 4 Algorithm
- 5 Training
- 6 Video Representation
- 7 Scoring function
- 8 Optimization - Updating Rules
- 9 Exemplar queries
- 10 Test on Unseen Queries
- 11 Qualitative results
- 12 Sentence Encoder
- 13 Spatial Attention Network • Which regions of the frames to look?
- 14 Temporal Attention Model
- 15 Inference Module
- 16 Experiments
- 17 Limitations
- 18 What is an Inaccuracy?
- 19 Formulation
- 20 Detection By Reconstruction
- 21 Visual Features
- 22 Inaccuracy Detection
- 23 Correction
- 24 Last two chapters
- 25 How about the opposite problem?
- 26 Problem Definition
- 27 Proposed Approach - Generator Block Diagram
- 28 Text Encoding
- 29 Start and End Distributions
- 30 Latent Path Construction
- 31 Conditional BatchNormalization (CBN)
- 32 Frame Generation
- 33 UpPooling Block Details
- 34 Proposed Approach - Discriminator
- 35 Loss Function - Generator
- 36 Hinge GAN-Loss on Discriminator
- 37 Evaluation Metrics
- 38 A2D Quantitative Results
- 39 A2D Results
- 40 Robotic Results
- 41 Dissertation Summary
- 42 Future Work
