Semantic Segmentation from Limited Training Data.
Anton MilanTrung PhamK. VijayDouglas MorrisonAdam W. TowL. LiuJ. ErskineR. GrinoverA. GurmanT. HunnN. Kelly-BoxallD. LeeM. McTaggartG. RallosA. RazjigaevT. RowntreeT. ShenR. SmithS. Wade-McCueZheyu ZhuangChristopher F. LehnertGuosheng LinIan D. ReidPeter I. CorkeJürgen LeitnerPublished in: CoRR (2017)
Keyphrases
- semantic segmentation
- training data
- street scenes
- superpixels
- label transfer
- conditional random fields
- decision trees
- training set
- object categories
- object class
- learning algorithm
- weakly supervised
- scene classification
- supervised learning
- multiscale
- data sets
- training examples
- long range
- input image
- viewpoint
- segmentation algorithm
- graphical models
- co occurrence
- information extraction
- object recognition