The Influence Measures of Light Intensity on Machine Learning for Semantic Segmentation.
Cheng-Hsien ChenYeong-Kang LaiPublished in: ISOCC (2020)
Keyphrases
- semantic segmentation
- machine learning
- light intensity
- conditional random fields
- label transfer
- superpixels
- weakly supervised
- dynamic range
- pascal voc
- scene classification
- light source
- object categories
- learning algorithm
- information extraction
- feature selection
- decision trees
- supervised learning
- image understanding
- object segmentation
- text mining
- computer vision
- image set
- lighting conditions
- text classification
- object class
- active learning
- object recognition
- multiscale
- natural language processing
- segmentation method