Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision.
Seunghoon HongSuha KwakBohyung HanPublished in: IEEE Signal Process. Mag. (2017)
Keyphrases
- semantic segmentation
- weakly supervised
- input image
- image database
- three dimensional
- multiple images
- image features
- image classification
- superpixels
- image retrieval
- image set
- image understanding
- object recognition
- lighting conditions
- semantic information
- region of interest
- image content
- spatial information
- information extraction