Towards Closing the Gap in Weakly Supervised Semantic Segmentation with
DCNNs: Combining Local and Global Models

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Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models

5 August 2018

Christoph Mayer

Radu Timofte

ArXiv (abs)PDF HTML

Papers citing "Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models"

10 / 10 papers shown

Title
Normalized Cut Loss for Weakly-supervised CNN Segmentation Meng Tang Abdelaziz Djelouah Federico Perazzi Yuri Boykov Christopher Schroers 64 320 0 04 Apr 2018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks Xuhong Li Yves Grandvalet Franck Davoine SSL 89 355 0 05 Feb 2018
Learning random-walk label propagation for weakly-supervised semantic segmentation Paul Vernaza Manmohan Chandraker 95 254 0 01 Feb 2018
A Review on Deep Learning Techniques Applied to Semantic Segmentation Alberto Garcia-Garcia Sergio Orts Sergiu Oprea Victor Villena-Martinez Jose Garcia-Rodriguez 3DV SSeg 123 1,278 0 22 Apr 2017
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 665 12,046 0 04 Dec 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation Anna Khoreva Rodrigo Benenson J. Hosang Matthias Hein Bernt Schiele WSOD VLM ISeg 96 747 0 24 Mar 2016
What's the Point: Semantic Segmentation with Point Supervision Amy Bearman Olga Russakovsky V. Ferrari Li Fei-Fei 3DPC 112 986 0 06 Jun 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation George Papandreou Liang-Chieh Chen Kevin Patrick Murphy Alan Yuille SSeg 121 920 0 09 Feb 2015
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 605 15,907 0 12 Nov 2013
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials Philipp Krahenbuhl V. Koltun 132 3,459 0 20 Oct 2012

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