Adaptive Affinity Field for Semantic Segmentation
By Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu. 2018
14 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
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In Computer Vision and Pattern Recognition
Citations in the corpus
- CCNet: Criss-Cross Attention for Semantic Segmentation (2018, methodology): “Most of methods [5, 22, 40, 27, 30, 41, 35, 19, 42, 36] adopt the same backbone as ours and the others [32, 34] utilize stronger backbones.”
- Pathology Image Analysis Using Segmentation Deep Learning Algorithms. (2019, background): “Adaptive affinity fields bring in a loss term to reflect the grouping force for the same category and the separation force for different categories.(73) Another significant challenge is to accelerate the gigapixel image processing speed.”