Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation

George Papandreou, Liang-Chieh Chen, Kevin Murphy, Alan Yuille

Type: Preprint

Publication Date: 2015-01-01

Citations: 376

DOI: https://doi.org/10.48550/arxiv.1502.02734

View Publication

Locations

arXiv (Cornell University) - View
DataCite API - View

Similar Works

Action	Title	Year	Authors
+	W-Net: A Deep Model for Fully Unsupervised Image Segmentation	2017	Xide Xia Brian Kulis
+	Weakly Supervised Semantic Segmentation with Convolutional Networks.	2014	Pedro H. O. Pinheiro Ronan Collobert
+	Budget-aware Semi-Supervised Semantic and Instance Segmentation	2019	Míriam Bellver Amaia Salvador Jordi Torres Xavier Giró-i-Nieto
+	Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation	2015	Seunghoon Hong Hyeonwoo Noh Bohyung Han
+	Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation	2016	Alexander Kolesnikov Christoph H. Lampert
+	Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation	2016	А. И. Колесников Christoph H. Lampert
+	Decoupled deep neural network for semi-supervised semantic segmentation	2015	Seunghoon Hong Hyeonwoo Noh Bohyung Han
+ PDF Chat	Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach	2020	Bingfeng Zhang Jimin Xiao Yunchao Wei Mingjie Sun Kaizhu Huang
+	Constrained Convolutional Neural Networks for Weakly Supervised Segmentation	2015	Deepak Pathak Philipp Krähenbühl Trevor Darrell
+	Constrained Convolutional Neural Networks for Weakly Supervised Segmentation	2015	Deepak Pathak Philipp Krähenbühl Trevor Darrell
+	Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach	2019	Bingfeng Zhang Jimin Xiao Yunchao Wei Mingjie Sun Kaizhu Huang
+	Semi-Supervised Semantic Segmentation With Pixel-Level Contrastive Learning From a Class-Wise Memory Bank	2021	Íñigo Alonso Alberto Sabater David Ferstl Luis Montesano Ana C. Murillo
+	Semi-Supervised Semantic Segmentation with High- and Low-level Consistency	2019	Sudhanshu Mittal Maxim Tatarchenko Thomas Brox
+	Semi-Supervised Semantic Segmentation with High- and Low-level Consistency	2019	Sudhanshu Mittal Maxim Tatarchenko Thomas Brox
+ PDF Chat	Deep co-training for semi-supervised image segmentation	2020	Jizong Peng Guillermo Estrada Marco Pedersoli Christian Desrosiers
+	Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank	2021	Iñigo Alonso Alberto Sabater David Ferstl Luis Montesano Ana C. Murillo
+ PDF Chat	A Survey on Label-Efficient Deep Image Segmentation: Bridging the Gap Between Weak Supervision and Dense Prediction	2023	Wei Shen Zelin Peng Xuehui Wang Huayu Wang Jiazhong Cen Dongsheng Jiang Lingxi Xie Xiaokang Yang Qi Tian
+	A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction	2022	Wei Shen Zelin Peng Xuehui Wang Huayu Wang Jiazhong Cen Dongsheng Jiang Lingxi Xie Xiaokang Yang Qi Tian
+ PDF Chat	Learning to Exploit the Prior Network Knowledge for Weakly Supervised Semantic Segmentation	2019	Carolina Redondo-Cabrera Marcos Baptista-Ríos Roberto J. López-Sastre
+ PDF Chat	Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank	2021	Íñigo Alonso Alberto Sabater David Ferstl Luis Montesano Ana C. Murillo

Works That Cite This (213)

Action	Title	Year	Authors
+ PDF Chat	Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances	2020	Aditya Arun C. V. Jawahar Manish Kumar
+	Weakly-Supervised Semantic Segmentation Using Motion Cues	2016	Pavel Tokmakov Karteek Alahari Cordelia Schmid
+	Learning Semantic Segmentation with Diverse Supervision	2018	Linwei Ye Zhi Liu Yang Wang
+	Fully Convolutional Networks for Semantic Segmentation	2016	Evan Shelhamer Jonathan Long Trevor Darrell
+ PDF Chat	Attention to Scale: Scale-Aware Semantic Image Segmentation	2016	Liang-Chieh Chen Yi Yang Jiang Wang Wei Xu Alan Yuille
+ PDF Chat	Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations	2019	Jiwoon Ahn Sunghyun Cho Suha Kwak
+ PDF Chat	Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform	2016	Liang-Chieh Chen Jonathan T. Barron George Papandreou Kevin Murphy Alan Yuille
+ PDF Chat	Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net	2016	Fangting Xia Peng Wang Liang-Chieh Chen Alan Yuille
+ PDF Chat	Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy	2017	Dan Barnes Will Maddern Ingmar Posner
+	Coarse-to-Fine Semantic Segmentation From Image-Level Labels	2019	Longlong Jing Yucheng Chen Yingli Tian

Works Cited by This (14)

Action	Title	Year	Authors
+	Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection	2014	George Papandreou Iasonas Kokkinos Pierre-André Savalle
+ PDF Chat	Convolutional feature masking for joint object and stuff segmentation	2015	Jifeng Dai Kaiming He Jian Sun
+	Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs	2014	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille
+	Fully Convolutional Multi-Class Multiple Instance Learning	2014	Deepak Pathak Evan Shelhamer Jonathan Long Trevor Darrell
+	Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials	2012	Philipp Krähenbühl Vladlen Koltun
+	BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation	2015	Jifeng Dai Kaiming He Jian Sun
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell
+	Material recognition in the wild with the Materials in Context Database	2014	Sean Bell Paul Upchurch Noah Snavely Kavita Bala
+	LSDA: Large Scale Detection Through Adaptation	2014	Judy Hoffman Sergio Guadarrama Eric Tzeng Ronghang Hu Jeff Donahue Ross Girshick Trevor Darrell Kate Saenko
+	Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture	2014	David Eigen Rob Fergus