Squeeze-and-Attention Networks for Semantic Segmentation.
Zilong ZhongZhong Qiu LinRene BidartXiaodan HuIbrahim Ben DayaJonathan LiAlexander WongPublished in: CoRR (2019)
Keyphrases
- semantic segmentation
- street scenes
- superpixels
- label transfer
- conditional random fields
- scene classification
- weakly supervised
- object categories
- object segmentation
- object recognition
- object class
- visual attention
- image classification
- biologically inspired
- object classes
- relation extraction
- pascal voc
- ground truth
- hidden markov models
- multiscale