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SegFix: Model-Agnostic Boundary Refinement for Segmentation

SegFix: Model-Agnostic Boundary Refinement for Segmentation

Yuhui Yuan
Jingyi Xie
Xilin Chen
Jingdong Wang
    ISeg
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Papers citing "SegFix: Model-Agnostic Boundary Refinement for Segmentation"

4 / 54 papers shown
Title
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision
Gedas Bertasius
Jianbo Shi
Lorenzo Torresani
55
168
0
23 Apr 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
238
2,536
0
11 Feb 2015
Fast Edge Detection Using Structured Forests
Fast Edge Detection Using Structured Forests
Piotr Dollár
C. L. Zitnick
78
932
0
20 Jun 2014
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
130
3,453
0
20 Oct 2012