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Semantic Scene Segmentation using Random Multinomial Logit
Published on Dec 01, 20093439 Views
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Chapter list
Semantic Scene SegmentationusingRandom Multinomial Logit00:00
Analysis of Traffic Scenes00:11
What this talk is about00:54
Multinomial Logistic Regression (1)01:41
Multinomial Logistic Regression (2)02:27
Multinomial Logistic Regression (3)03:32
Random Multinomial Logit (missing wikipedia example) (1)04:20
Random Multinomial Logit (2)04:54
Random Multinomial Logistic Regression05:21
RML Training05:51
Classification using RML06:28
Scene Segmentation using RML06:46
Shape-texton Features07:29
NRML for Scene Segmentation08:35
Need for Feature Selection09:34
Replacing Insignificant features10:43
Random Search in Feature Space11:46
Feature Selection Algorithm12:25
Overall System (some images are missing on the slide) (1)12:38
Overall System (2)13:18
Experiments13:24
Random Forests implementation13:59
Results -Motorbike video dataset (missing video examples)14:38
Comparison16:00
VOC 2008 Dataset16:42
VOC 2008 Dataset17:08
Trends17:36
Future19:04
The End (missing video examples)19:56