British Machine Vision Conference 2009 – London

Learning Models for Object Recognition from Natural Language Descriptions

author:Josiah Wang, University of Leeds
published: Dec. 1, 2009, recorded: September 2009, views: 61

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Slides

Slides
0:00	Learning Models for Object Recognition from Natural Language Descriptions
0:06	Main Idea (1)
0:24	Main Idea (2)
1:30	Textual Descriptions
2:15	Challenges
2:45	Dataset
3:14	Method Outline
3:34	Natural Language Processing (NLP) (1)
3:40	Natural Language Processing (NLP) (2)
4:22	Natural Language Processing (NLP) (3)
4:28	Natural Language Processing (NLP) (4)
4:33	Natural Language Processing (NLP) (5)
4:46	Natural Language Processing (NLP) (6)
4:58	Natural Language Processing (NLP) (7)
5:26	Visual Processing (1)
5:30	Visual Processing (2)
5:50	Visual Processing (3)
6:14	Visual Processing (4)
6:42	Visual Processing (5)
7:14	Generative Model (1)
7:22	Generative Model (2)
7:38	Generative Model (3)
7:46	Generative Model (4)
7:50	Generative Model (5)
8:14	Generative Model (6)
9:10	Experimental Results
9:22	Human Performance (1)
9:54	Human Performance (2)
10:18	Example Misclassification
10:42	Results: Proposed Method (1)
11:06	Results: Proposed Method (2)
11:22	Results: Proposed Method (3)
11:42	Standard Vision Methods
11:58	Results: Standard Vision Methods
12:54	Discussion
13:18	Learning Models for Object Recognition from Natural Language Descriptions, Questions

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