End-to-End Pedestrian Collision Warning System based on a Convolutional Neural Network with Semantic Segmentation.
Heechul JungMin-Kook ChoiSoon KwonWoo Young JungPublished in: CoRR (2016)
Keyphrases
- end to end
- convolutional neural network
- semantic segmentation
- object detection
- face detection
- pascal voc
- object categories
- object class
- pedestrian detection
- superpixels
- weakly supervised
- conditional random fields
- label transfer
- scene classification
- object segmentation
- neural network
- image understanding
- object classes
- multi class
- computer vision
- object recognition
- data sets
- image set
- bag of words
- graphical models