Deep Fusion Driven Semantic Segmentation for the Automatic Recognition of Concealed Contraband Items.
Muhammad ShafayTaimur HassanDivya VelayudhanErnesto DamianiNaoufel WerghiPublished in: SoCPaR (2020)
Keyphrases
- automatic recognition
- semantic segmentation
- street scenes
- conditional random fields
- superpixels
- label transfer
- weakly supervised
- scene classification
- object categories
- object detection
- data fusion
- image understanding
- pascal voc
- object classes
- object class
- image fusion
- object recognition
- input image
- biologically inspired
- image annotation
- generative model
- probabilistic model
- hidden markov models