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

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
ArXivPDFHTML

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

50 / 174 papers shown
Title
A semi-supervised self-training method to develop assistive intelligence
  for segmenting multiclass bridge elements from inspection videos
A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
Muhammad Monjurul Karim
Ruwen Qin
Zhaozheng Yin
Genda Chen
22
24
0
10 Sep 2021
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural
  Language Understanding
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding
Guoqing Zheng
Giannis Karamanolakis
Kai Shu
Ahmed Hassan Awadallah
SSL
21
1
0
28 Aug 2021
An EM Framework for Online Incremental Learning of Semantic Segmentation
An EM Framework for Online Incremental Learning of Semantic Segmentation
Shipeng Yan
Jiale Zhou
Jiangwei Xie
Songyang Zhang
Xuming He
CLL
27
40
0
08 Aug 2021
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly
  Supervised Semantic Segmentation
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation
Xiangrong Zhang
Zelin Peng
Peng Zhu
Tianyang Zhang
Chen Li
Huiyu Zhou
L. Jiao
CLL
37
46
0
03 Aug 2021
Personalized Image Semantic Segmentation
Personalized Image Semantic Segmentation
Yu Zhang
Chang-Bin Zhang
Peng-Tao Jiang
Mingg-Ming Cheng
Feng Mao
21
4
0
24 Jul 2021
Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control
  with Model-assisted Learning
Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control with Model-assisted Learning
Shichao Xu
Yangyang Fu
Yixuan Wang
Zheng O’Neill
Qi Zhu
AI4CE
19
16
0
27 Jun 2021
Semi-supervised Semantic Segmentation with Directional Context-aware
  Consistency
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Xin Lai
Zhuotao Tian
Li Jiang
Shu Liu
Hengshuang Zhao
Liwei Wang
Jiaya Jia
50
207
0
27 Jun 2021
Keep CALM and Improve Visual Feature Attribution
Keep CALM and Improve Visual Feature Attribution
Jae Myung Kim
Junsuk Choe
Zeynep Akata
Seong Joon Oh
FAtt
350
20
0
15 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual
  Representations
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
SSL
25
65
0
10 Jun 2021
Enforcing Morphological Information in Fully Convolutional Networks to
  Improve Cell Instance Segmentation in Fluorescence Microscopy Images
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images
W. Zamora-Cardenas
Mauro Mendez
Saul Calderon-Ramirez
Martin Vargas
Gerardo Monge
S. Quirós
David Elizondo
David Elizondo
Miguel A. Molina-Cabello
3DV
MedIm
40
4
0
10 Jun 2021
Affinity Attention Graph Neural Network for Weakly Supervised Semantic
  Segmentation
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
Bingfeng Zhang
Jimin Xiao
Jianbo Jiao
Yunchao Wei
Yao-Min Zhao
33
95
0
08 Jun 2021
Hierarchical Deep Network with Uncertainty-aware Semi-supervised
  Learning for Vessel Segmentation
Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation
Chenxin Li
Wenao Ma
Liyan Sun
Xinghao Ding
Yue Huang
Guisheng Wang
Yizhou Yu
20
36
0
31 May 2021
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive
  Learning
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Tsung-Wei Ke
Jyh-Jing Hwang
Stella X. Yu
SSL
35
75
0
03 May 2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image
  Segmentation
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß
C. Seibold
Alexander Freytag
E. Rodner
Rainer Stiefelhagen
91
61
0
27 Apr 2021
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images:
  Techniques and Clinical Applications
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications
Yang Ma
Chaoyi Zhang
Mariano Cabezas
Yang Song
Zihao Tang
Dongnan Liu
Weidong (Tom) Cai
M. Barnett
Chenyu Wang
21
35
0
20 Apr 2021
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional
  Neural Networks
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks
Junyu Chen
Ye Li
L. Luna
H. Chung
S. Rowe
Yong Du
L. Solnes
Eric C. Frey
13
19
0
17 Apr 2021
All you need are a few pixels: semantic segmentation with PixelPick
All you need are a few pixels: semantic segmentation with PixelPick
Gyungin Shin
Weidi Xie
Samuel Albanie
VLM
27
42
0
13 Apr 2021
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised
  Semantic Segmentation
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation
Youngmin Oh
Beomjun Kim
Bumsub Ham
NoLa
30
98
0
02 Apr 2021
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised
  Object Localization
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization
Wei Gao
Fang Wan
Xingjia Pan
Zhiliang Peng
Qi Tian
Zhenjun Han
Bolei Zhou
QiXiang Ye
ViT
WSOL
32
198
0
27 Mar 2021
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and
  Instance Segmentation
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
Jungbeom Lee
Jihun Yi
Chaehun Shin
Sungroh Yoon
ISeg
24
172
0
16 Mar 2021
Unveiling the Potential of Structure Preserving for Weakly Supervised
  Object Localization
Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization
Xingjia Pan
Yingguo Gao
Zhiwen Lin
Fan Tang
Weiming Dong
Haolei Yuan
Feiyue Huang
Changsheng Xu
WSOL
49
86
0
08 Mar 2021
Pseudo-labeling for Scalable 3D Object Detection
Pseudo-labeling for Scalable 3D Object Detection
Benjamin Caine
Rebecca Roelofs
Vijay Vasudevan
Jiquan Ngiam
Yuning Chai
Zhehuai Chen
Jonathon Shlens
34
41
0
02 Mar 2021
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised Learning
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
27
569
0
28 Feb 2021
Disambiguation of weak supervision with exponential convergence rates
Disambiguation of weak supervision with exponential convergence rates
Vivien A. Cabannes
Francis R. Bach
Alessandro Rudi
44
5
0
04 Feb 2021
Weakly-Supervised Hierarchical Models for Predicting Persuasive
  Strategies in Good-faith Textual Requests
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests
Jiaao Chen
Diyi Yang
27
20
0
16 Jan 2021
Teach me to segment with mixed supervision: Confident students become
  masters
Teach me to segment with mixed supervision: Confident students become masters
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
33
25
0
15 Dec 2020
Information-Theoretic Segmentation by Inpainting Error Maximization
Information-Theoretic Segmentation by Inpainting Error Maximization
Pedro H. P. Savarese
Sunnie S. Y. Kim
Michael Maire
G. Shakhnarovich
David A. McAllester
49
29
0
14 Dec 2020
Contrastive Learning for Label-Efficient Semantic Segmentation
Contrastive Learning for Label-Efficient Semantic Segmentation
Xiangyu Zhao
Raviteja Vemulapalli
Philip Mansfield
Boqing Gong
Bradley Green
Lior Shapira
Ying Nian Wu
SSL
SSeg
36
174
0
13 Dec 2020
Deformable Gabor Feature Networks for Biomedical Image Classification
Deformable Gabor Feature Networks for Biomedical Image Classification
Xuan Gong
Xin Xia
Wentao Zhu
Baochang Zhang
David Doermann
Lian Zhuo
OOD
MedIm
22
24
0
07 Dec 2020
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised
  Semantic Segmentation
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation
E. Stammes
Tom F. H. Runia
M. Hofmann
Mohsen Ghafoorian
21
9
0
09 Nov 2020
A Weakly-Supervised Semantic Segmentation Approach based on the Centroid
  Loss: Application to Quality Control and Inspection
A Weakly-Supervised Semantic Segmentation Approach based on the Centroid Loss: Application to Quality Control and Inspection
Kai Yao
A. Ortiz
F. Bonnín-Pascual
32
0
0
26 Oct 2020
UFO$^2$: A Unified Framework towards Omni-supervised Object Detection
UFO2^22: A Unified Framework towards Omni-supervised Object Detection
Zhongzheng Ren
Zhiding Yu
Xiaodong Yang
Xuan Li
Alex Schwing
Jan Kautz
ObjD
209
35
0
21 Oct 2020
SoccerMap: A Deep Learning Architecture for Visually-Interpretable
  Analysis in Soccer
SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer
Javier Fernández
L. Bornn
14
28
0
20 Oct 2020
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 Lines
R. Abdelfattah
Xiang Wang
Song Wang
ViT
70
66
0
20 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
43
7
0
02 Oct 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
Hongsheng Li
23
50
0
17 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
14
12
0
30 Jul 2020
Domain Adaptive Semantic Segmentation Using Weak Labels
Domain Adaptive Semantic Segmentation Using Weak Labels
S. Paul
Yi-Hsuan Tsai
S. Schulter
Amit K. Roy-Chowdhury
Manmohan Chandraker
25
90
0
30 Jul 2020
Point-to-set distance functions for weakly supervised segmentation
Point-to-set distance functions for weakly supervised segmentation
Bas Peters
18
1
0
27 Jul 2020
Weakly Supervised Instance Segmentation by Learning Annotation
  Consistent Instances
Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances
Aditya Arun
C. V. Jawahar
M. P. Kumar
ISeg
29
57
0
18 Jul 2020
Learning Navigation Costs from Demonstration with Semantic Observations
Learning Navigation Costs from Demonstration with Semantic Observations
Tianyu Wang
Vikas Dhiman
Nikolay Atanasov
30
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
21
25
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 Network
Markku Luotamo
Sari Metsamaki
Arto Klami
22
23
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 tasks
Rihuan Ke
Aurélie Bugeau
Nicolas Papadakis
Mark Kirkland
P. Schuetz
Carola-Bibiane Schönlieb
SSeg
33
17
0
26 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
28
76
0
20 May 2020
Single-Stage Semantic Segmentation from Image Labels
Single-Stage Semantic Segmentation from Image Labels
Nikita Araslanov
Stefan Roth
37
247
0
16 May 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 supervision
H. Kervadec
Jose Dolz
Shanshan Wang
Eric Granger
Ismail Ben Ayed
22
84
0
14 Apr 2020
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer
  Labels
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels
Xun Xu
Gim Hee Lee
3DPC
27
93
0
08 Apr 2020
GeoFusion: Geometric Consistency informed Scene Estimation in Dense
  Clutter
GeoFusion: Geometric Consistency informed Scene Estimation in Dense Clutter
Zhiqiang Sui
Haonan Chang
Ning-Hao Xu
Odest Chadwicke Jenkins
24
10
0
27 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Yassine Ouali
C´eline Hudelot
Myriam Tami
30
709
0
19 Mar 2020
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