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Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
v1v2v3 (latest)

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

9 February 2015
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
    SSeg
ArXiv (abs)PDFHTML

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

50 / 399 papers shown
TTPLA: An Aerial-Image Dataset for Detection and Segmentation of
  Transmission Towers and Power Lines
TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power LinesAsian Conference on Computer Vision (ACCV), 2020
R. Abdelfattah
Xiang Wang
Song Wang
ViT
178
99
0
20 Oct 2020
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
PseudoSeg: Designing Pseudo Labels for Semantic SegmentationInternational Conference on Learning Representations (ICLR), 2020
Yuliang Zou
Zizhao Zhang
Han Zhang
Chun-Liang Li
Xiao Bian
Jia-Bin Huang
Tomas Pfister
406
348
0
19 Oct 2020
Semi-Supervised Semantic Segmentation in Earth Observation: The
  MiniFrance Suite, Dataset Analysis and Multi-task Network Study
Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study
J. Castillo-Navarro
Bertrand Le Saux
Alexandre Boulch
Nicolas Audebert
Sébastien Lefèvre
127
84
0
15 Oct 2020
Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening
Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening
Sumeet Menon
David Chapman
Phuong Nguyen
Yelena Yesha
Michael Morris
Babak Saboury
MedIm
180
7
0
02 Oct 2020
Semi-Supervised Learning for In-Game Expert-Level Music-to-Dance
  Translation
Semi-Supervised Learning for In-Game Expert-Level Music-to-Dance Translation
Yinglin Duan
Tianyang Shi
Zhengxia Zou
Jia Qin
Yifei Zhao
Yi Yuan
Jie Hou
Xiang Wen
Chang Lab
109
4
0
27 Sep 2020
Unsupervised Model Adaptation for Continual Semantic Segmentation
Unsupervised Model Adaptation for Continual Semantic SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2020
Serban Stan
Mohammad Rostami
OODCLL
207
69
0
26 Sep 2020
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot
  Semantic Segmentation
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic SegmentationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Zhangxuan Gu
Siyuan Zhou
Li Niu
Zihan Zhao
Liqing Zhang
VLMDiffM
240
23
0
25 Sep 2020
Overcoming the curse of dimensionality with Laplacian regularization in
  semi-supervised learning
Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learningNeural Information Processing Systems (NeurIPS), 2020
Vivien A. Cabannes
Loucas Pillaud-Vivien
Francis R. Bach
Alessandro Rudi
281
20
0
09 Sep 2020
Knowledge Efficient Deep Learning for Natural Language Processing
Knowledge Efficient Deep Learning for Natural Language Processing
Hai Wang
145
2
0
28 Aug 2020
Mask-guided sample selection for Semi-Supervised Instance Segmentation
Mask-guided sample selection for Semi-Supervised Instance SegmentationMultimedia tools and applications (MTA), 2020
Míriam Bellver
Amaia Salvador
Jordi Torres
Xavier Giró-i-Nieto
ISeg
130
5
0
25 Aug 2020
Multi-organ Segmentation via Co-training Weight-averaged Models from
  Few-organ Datasets
Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets
Rui Huang
Yuanjie Zheng
Zhiqiang Hu
Shaoting Zhang
Jiaming Song
175
59
0
17 Aug 2020
Context-aware Feature Generation for Zero-shot Semantic Segmentation
Context-aware Feature Generation for Zero-shot Semantic Segmentation
Zhangxuan Gu
Siyuan Zhou
Li Niu
Zihan Zhao
Liqing Zhang
VLM
370
154
0
16 Aug 2020
Inter-Image Communication for Weakly Supervised Localization
Inter-Image Communication for Weakly Supervised LocalizationEuropean Conference on Computer Vision (ECCV), 2020
Xiaolin Zhang
Yunchao Wei
Yi Yang
WSOL
194
114
0
12 Aug 2020
Deep Complementary Joint Model for Complex Scene Registration and
  Few-shot Segmentation on Medical Images
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images
Yuting He
Tiantian Li
Guanyu Yang
Youyong Kong
Yang Chen
H. Shu
J. Coatrieux
J. Dillenseger
Shuo Li
MedIm
120
30
0
03 Aug 2020
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
Guohao Yu
A. Zare
Weihuang Xu
R. Matamala
J. Reyes‐Cabrera
F. Fritschi
T. Juenger
151
12
0
30 Jul 2020
Domain Adaptive Semantic Segmentation Using Weak Labels
Domain Adaptive Semantic Segmentation Using Weak LabelsEuropean Conference on Computer Vision (ECCV), 2020
S. Paul
Yi-Hsuan Tsai
S. Schulter
Amit K. Roy-Chowdhury
Manmohan Chandraker
274
95
0
30 Jul 2020
Point-to-set distance functions for weakly supervised segmentation
Point-to-set distance functions for weakly supervised segmentation
Bas Peters
159
1
0
27 Jul 2020
Weakly Supervised Instance Segmentation by Learning Annotation
  Consistent Instances
Weakly Supervised Instance Segmentation by Learning Annotation Consistent InstancesEuropean Conference on Computer Vision (ECCV), 2020
Aditya Arun
C. V. Jawahar
M. P. Kumar
ISeg
237
61
0
18 Jul 2020
Automatic Image Labelling at Pixel Level
Automatic Image Labelling at Pixel Level
Xiang Zhang
Wei Zhang
Jinye Peng
Jianping Fan
VLMSSeg
159
2
0
15 Jul 2020
Tackling the Problem of Limited Data and Annotations in Semantic
  Segmentation
Tackling the Problem of Limited Data and Annotations in Semantic Segmentation
Ahmadreza Jeddi
71
0
0
14 Jul 2020
PCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision
PCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision
R. McEver
B. S. Manjunath
155
22
0
10 Jul 2020
Weakly Supervised Deep Nuclei Segmentation Using Partial Points
  Annotation in Histopathology Images
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology ImagesIEEE Transactions on Medical Imaging (TMI), 2020
Hui Qu
Pengxiang Wu
Qiaoying Huang
Jingru Yi
Zhennan Yan
Kang Li
G. Riedlinger
S. De
Shaoting Zhang
Dimitris N. Metaxas
229
178
0
10 Jul 2020
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics,
  and Datasets
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and DatasetsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Junsuk Choe
Seong Joon Oh
Sanghyuk Chun
Seungho Lee
Zeynep Akata
Hyunjung Shim
WSOL
910
29
0
08 Jul 2020
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
Guolei Sun
Wenguan Wang
Jifeng Dai
Luc Van Gool
534
349
0
03 Jul 2020
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised
  Semantic Segmentation
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation
Kuangqi Zhou
Qibin Hou
Zun Li
Jiashi Feng
151
5
0
14 Jun 2020
Transferring and Regularizing Prediction for Semantic Segmentation
Transferring and Regularizing Prediction for Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2020
Yiheng Zhang
Zhaofan Qiu
Ting Yao
Chong-Wah Ngo
Dong Liu
Tao Mei
153
37
0
11 Jun 2020
Learning Navigation Costs from Demonstration with Semantic Observations
Learning Navigation Costs from Demonstration with Semantic Observations
Tianyu Wang
Vikas Dhiman
Nikolay Atanasov
250
4
0
09 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and
  Experimental Study
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study
Biao Gao
Yancheng Pan
Chengkun Li
Sibo Geng
Huijing Zhao
3DPC
307
27
0
08 Jun 2020
Multi-scale Cloud Detection in Remote Sensing Images using a Dual
  Convolutional Neural Network
Multi-scale Cloud Detection in Remote Sensing Images using a Dual Convolutional Neural NetworkIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2020
Markku Luotamo
Sari Metsamaki
Arto Klami
191
28
0
01 Jun 2020
Multi-task deep learning for image segmentation using recursive
  approximation tasks
Multi-task deep learning for image segmentation using recursive approximation tasksIEEE Transactions on Image Processing (TIP), 2020
Rihuan Ke
Aurélie Bugeau
Nicolas Papadakis
Mark Kirkland
P. Schuetz
Carola-Bibiane Schönlieb
SSeg
165
18
0
26 May 2020
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
Marco Toldo
Andrea Maracani
Umberto Michieli
Pietro Zanuttigh
SSeg
354
205
0
21 May 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences
  for Urban Scene Segmentation
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Liang-Chieh Chen
Raphael Gontijo-Lopes
Bowen Cheng
Maxwell D. Collins
E. D. Cubuk
Barret Zoph
Hartwig Adam
Jonathon Shlens
374
75
0
20 May 2020
Single-Stage Semantic Segmentation from Image Labels
Single-Stage Semantic Segmentation from Image Labels
Nikita Araslanov
Stefan Roth
319
309
0
16 May 2020
Reinforced Coloring for End-to-End Instance Segmentation
Reinforced Coloring for End-to-End Instance Segmentation
Tuan Tran Anh
Khoa Nguyen-Tuan
Tran Minh Quan
Won-Ki Jeong
SSegISeg
177
3
0
14 May 2020
Detection and Retrieval of Out-of-Distribution Objects in Semantic
  Segmentation
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
Philipp Oberdiek
Matthias Rottmann
G. Fink
156
31
0
14 May 2020
Mining self-similarity: Label super-resolution with epitomic
  representations
Mining self-similarity: Label super-resolution with epitomic representations
Nikolay Malkin
Anthony Ortiz
Caleb Robinson
Nebojsa Jojic
182
12
0
24 Apr 2020
Bounding boxes for weakly supervised segmentation: Global constraints
  get close to full supervision
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervisionInternational Conference on Medical Imaging with Deep Learning (MIDL), 2020
H. Kervadec
Jose Dolz
Shanshan Wang
Mohammadhadi Shateri
Ismail Ben Ayed
180
97
0
14 Apr 2020
Self-supervised Equivariant Attention Mechanism for Weakly Supervised
  Semantic Segmentation
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2020
Yude Wang
Jie Zhang
Meina Kan
Shiguang Shan
Xilin Chen
355
728
0
09 Apr 2020
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer
  Labels
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer LabelsComputer Vision and Pattern Recognition (CVPR), 2020
Xun Xu
Gim Hee Lee
3DPC
135
99
0
08 Apr 2020
Weakly-supervised land classification for coastal zone based on deep convolutional neural networks by incorporating dual-polarimetric characteristics into training dataset
Sheng Sun
A. Marino
Wenze Shui
Zhongwen Hu
224
0
0
30 Mar 2020
GeoFusion: Geometric Consistency informed Scene Estimation in Dense
  Clutter
GeoFusion: Geometric Consistency informed Scene Estimation in Dense ClutterIEEE Robotics and Automation Letters (RA-L), 2020
Zhiqiang Sui
Haonan Chang
Ning-Hao Xu
Odest Chadwicke Jenkins
307
10
0
27 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Semi-Supervised Semantic Segmentation with Cross-Consistency TrainingComputer Vision and Pattern Recognition (CVPR), 2020
Yassine Ouali
C´eline Hudelot
Myriam Tami
508
880
0
19 Mar 2020
Structured Prediction with Partial Labelling through the Infimum Loss
Structured Prediction with Partial Labelling through the Infimum LossInternational Conference on Machine Learning (ICML), 2020
Vivien A. Cabannes
Alessandro Rudi
Francis R. Bach
232
47
0
02 Mar 2020
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning
Weakly-Supervised Semantic Segmentation by Iterative Affinity LearningInternational Journal of Computer Vision (IJCV), 2020
Xiang Wang
Sifei Liu
Huimin Ma
Ming-Hsuan Yang
151
96
0
19 Feb 2020
Block Annotation: Better Image Annotation for Semantic Segmentation with
  Sub-Image Decomposition
Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image DecompositionIEEE International Conference on Computer Vision (ICCV), 2019
Hubert Lin
P. Upchurch
Kavita Bala
215
23
0
16 Feb 2020
Learn to Predict Sets Using Feed-Forward Neural Networks
Learn to Predict Sets Using Feed-Forward Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
H. Rezatofighi
Tianyu Zhu
Roman Kaskman
F. Motlagh
Javen Qinfeng Shi
Anton Milan
Zorah Lähner
Laura Leal-Taixé
Ian Reid
SSL
300
18
0
30 Jan 2020
Evaluating Weakly Supervised Object Localization Methods Right
Evaluating Weakly Supervised Object Localization Methods RightComputer Vision and Pattern Recognition (CVPR), 2020
Junsuk Choe
Seong Joon Oh
Seungho Lee
Sanghyuk Chun
Zeynep Akata
Hyunjung Shim
WSOL
709
194
0
21 Jan 2020
Multi-organ Segmentation over Partially Labeled Datasets with
  Multi-scale Feature Abstraction
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature AbstractionIEEE Transactions on Medical Imaging (TMI), 2020
Xi Fang
Pingkun Yan
SSeg
230
204
0
01 Jan 2020
Discovering Latent Classes for Semi-Supervised Semantic Segmentation
Discovering Latent Classes for Semi-Supervised Semantic SegmentationGerman Conference on Pattern Recognition (DAGM), 2019
Olga Zatsarynna
Johann Sawatzky
Juergen Gall
341
1
0
30 Dec 2019
Unsupervised Many-to-Many Image-to-Image Translation Across Multiple
  Domains
Unsupervised Many-to-Many Image-to-Image Translation Across Multiple Domains
Ye Lin
Keren Fu
Shenggui Ling
Peng Cheng
78
1
0
28 Nov 2019
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