Segmentation
By Ting Liu, Miaomiao Zhang, Mehran Javanmardi, N. Ramesh, Tolga Tasdizen. 2019
1,339 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Jitendra Malik
- Luc Van Gool
- Silvio Savarese
- Andrew Zisserman
- Trevor Darrell
- Xiaogang Wang
- Kristen Grauman
- Dacheng Tao
Citations in the corpus
- Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies (2018, neutral): “Offline Computer Vision encompasses the approaches designed to solve various stand-alone vision tasks, e.g. depth estimation [18, 43], object classification [42, 32], detection [64, 25], segmentation [70, 30, 35], pose estimation [92, 9, 87], etc.”
- The Portuguese Slump and Crash and the Euro Crisis (2013, neutral): “All combined, the Portuguese labor market since 2000 is best described as a dual market (Centeno and Novo 2012).”
- Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks (2018, background): “…set of approaches—e.g. fully supervised learning [23], self-supervised learning [32, 35, 7, 56, 55, 33], unsupervised learning [9, 4, 7, 56, 8, 41]—adopted to solve various standard perception tasks, e.g. depth estimation [24], object detection [23] and segmentation [43], pose estimation [57], etc.”