GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation.
Weixuan SunJing ZhangZheyuan LiuYiran ZhongNick BarnesPublished in: CoRR (2021)
Keyphrases
- weakly supervised
- semantic segmentation
- superpixels
- topic models
- relation extraction
- object class
- semi supervised
- conditional random fields
- named entities
- multiscale
- visual attention
- object categories
- domain specific
- object recognition
- segmentation algorithm
- computer vision
- markov random field
- multiple objects
- higher order
- scene classification
- training data