Fast Synthetic Dataset for Kitchen Object Segmentation in Deep Learning.
Ruben Sagues-TancoLuis Benages PardoGonzalo López-NicolásSergio LlorentePublished in: IEEE Access (2020)
Keyphrases
- deep learning
- object segmentation
- synthetic datasets
- real life
- superpixels
- weakly supervised
- object detection
- image segmentation
- graph cuts
- unsupervised learning
- segmentation method
- machine learning
- real world
- object categories
- shape prior
- segmentation algorithm
- bounding box
- data sets
- markov random field
- expectation maximization
- principal component analysis
- prior knowledge
- multiscale