Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways.
Weikai TanNannan QinLingfei MaYing LiJing DuGuorong CaiKe YangJonathan LiPublished in: CVPR Workshops (2020)
Keyphrases
- semantic segmentation
- pascal voc
- street scenes
- urban areas
- object detection
- bag of words
- label transfer
- conditional random fields
- superpixels
- object categories
- scene classification
- image set
- object classes
- weakly supervised
- object recognition
- object class
- object segmentation
- input image
- n gram
- image understanding
- computer vision
- long range
- image classification
- higher order
- co occurrence
- multiscale