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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 / 170 papers shown
Title
Knowledge Distillation for Semantic Segmentation: A Label Space Unification Approach
Knowledge Distillation for Semantic Segmentation: A Label Space Unification Approach
Anton Backhaus
Thorsten Luettel
Mirko Maehlisch
55
0
0
26 Feb 2025
iSeg: An Iterative Refinement-based Framework for Training-free
  Segmentation
iSeg: An Iterative Refinement-based Framework for Training-free Segmentation
Lin Sun
Jiale Cao
J. Xie
Fahad Shahbaz Khan
Yanwei Pang
DiffM
43
1
0
05 Sep 2024
Enhancing Weakly-Supervised Histopathology Image Segmentation with
  Knowledge Distillation on MIL-Based Pseudo-Labels
Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-Labels
Yinsheng He
Xingyu Li
Roger J. Zemp
VLM
48
0
0
14 Jul 2024
AI-based Automatic Segmentation of Prostate on Multi-modality Images: A
  Review
AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review
Rui Jin
Derun Li
Dehui Xiang
Lei Zhang
Hailing Zhou
Fei Shi
Weifang Zhu
Jing Cai
Tao Peng
Xinjian Chen
44
0
0
09 Jul 2024
How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model
How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model
Yixin Zhang
Shen Zhao
Han Gu
Maciej A. Mazurowski
VLM
43
4
0
17 Dec 2023
LEOD: Label-Efficient Object Detection for Event Cameras
LEOD: Label-Efficient Object Detection for Event Cameras
Ziyi Wu
Mathias Gehrig
Qing Lyu
Xudong Liu
Igor Gilitschenski
42
14
0
29 Nov 2023
Small Objects Matters in Weakly-supervised Semantic Segmentation
Small Objects Matters in Weakly-supervised Semantic Segmentation
Cheol Mun
S. Lee
Youngjung Uh
Junsuk Choe
H. Byun
20
2
0
25 Sep 2023
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic
  Segmentation
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation
Lei Zhu
Hangzhou He
Xinliang Zhang
Qian Chen
Shuang Zeng
Qiu-Ping Ren
Yanye Lu
31
1
0
09 Aug 2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation
SegMatch: A semi-supervised learning method for surgical instrument segmentation
Meng Wei
C. Budd
Luis C. García-Peraza-Herrera
R. Dorent
Miaojing Shi
Tom Kamiel Magda Vercauteren
25
5
0
09 Aug 2023
Weakly Supervised 3D Instance Segmentation without Instance-level
  Annotations
Weakly Supervised 3D Instance Segmentation without Instance-level Annotations
S. Dong
Guosheng Lin
ISeg
3DV
40
4
0
03 Aug 2023
PourIt!: Weakly-supervised Liquid Perception from a Single Image for
  Visual Closed-Loop Robotic Pouring
PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring
Haitao Lin
Yanwei Fu
Xiangyang Xue
26
5
0
21 Jul 2023
Interpretable Small Training Set Image Segmentation Network Originated
  from Multi-Grid Variational Model
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model
Junying Meng
Weihong Guo
Jun Liu
Mingrui Yang
24
1
0
25 Jun 2023
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
Xiuye Gu
Huayu Chen
Jonathan Huang
Abdullah M. Rashwan
Boxin Wang
...
Golnaz Ghiasi
Weicheng Kuo
Huizhong Chen
Liang-Chieh Chen
David A. Ross
ISeg
30
26
0
02 Jun 2023
Towards Open-World Segmentation of Parts
Towards Open-World Segmentation of Parts
Tai-Yu Pan
Qing Liu
Wei-Lun Chao
Brian L. Price
OCL
35
14
0
26 May 2023
Semantic Segmentation by Semantic Proportions
Semantic Segmentation by Semantic Proportions
Halil Ibrahim Aysel
Xiaohao Cai
Adam Prugel-Bennett
28
1
0
24 May 2023
Coupling Global Context and Local Contents for Weakly-Supervised
  Semantic Segmentation
Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation
Chunyan Wang
Dong Zhang
Liyan Zhang
Jinhui Tang
29
7
0
18 Apr 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
37
50
0
13 Feb 2023
CQnet: convex-geometric interpretation and constraining neural-network
  trajectories
CQnet: convex-geometric interpretation and constraining neural-network trajectories
Bas Peters
35
0
0
09 Feb 2023
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly
  Supervised Semantic Segmentation
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
Yuqi Lin
Minghao Chen
Wenxiao Wang
Boxi Wu
Ke Li
Binbin Lin
Haifeng Liu
Xiaofei He
VLM
CLIP
20
119
0
16 Dec 2022
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised
  Framework with Spatio-Temporal Collaboration
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration
Liqi Yan
Qifan Wang
Siqi Ma
Jingang Wang
Changbin (Brad) Yu
VOS
32
38
0
15 Dec 2022
From colouring-in to pointillism: revisiting semantic segmentation
  supervision
From colouring-in to pointillism: revisiting semantic segmentation supervision
Rodrigo Benenson
V. Ferrari
VLM
31
18
0
25 Oct 2022
Dual Progressive Transformations for Weakly Supervised Semantic
  Segmentation
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation
Dong Huo
Yukun Su
Qingyao Wu
ViT
40
4
0
30 Sep 2022
Weakly Supervised Semantic Segmentation via Progressive Patch Learning
Weakly Supervised Semantic Segmentation via Progressive Patch Learning
Jinlong Li
Zequn Jie
Xu Wang
Yu Zhou
Xiaolin K. Wei
Lin Ma
VLM
58
20
0
16 Sep 2022
Robotic Perception in Agri-food Manipulation: A Review
Robotic Perception in Agri-food Manipulation: A Review
Jack Foster
Mazvydas Gudelis
A. G. Esfahani
28
1
0
22 Aug 2022
Information Gain Sampling for Active Learning in Medical Image
  Classification
Information Gain Sampling for Active Learning in Medical Image Classification
Raghav Mehta
Changjian Shui
Brennan Nichyporuk
Tal Arbel
19
5
0
01 Aug 2022
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation
  in 3D Cardiovascular Immunofluorescent Images
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab
Yash Sharma
Laura S. Shankman
Gary K. Owens
Donald E. Brown
24
1
0
29 Jul 2022
Discovering Object Masks with Transformers for Unsupervised Semantic
  Segmentation
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation
Wouter Van Gansbeke
Simon Vandenhende
Luc Van Gool
47
55
0
13 Jun 2022
A Survey on Deep Learning for Skin Lesion Segmentation
A Survey on Deep Learning for Skin Lesion Segmentation
Z. Mirikharaji
Kumar Abhishek
Alceu Bissoto
Catarina Barata
Sandra Avila
Eduardo Valle
M. Celebi
Ghassan Hamarneh
52
82
0
01 Jun 2022
Weakly-supervised segmentation of referring expressions
Weakly-supervised segmentation of referring expressions
Robin Strudel
Ivan Laptev
Cordelia Schmid
22
21
0
10 May 2022
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly
  Supervised Semantic Segmentation
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation
Peng-Tao Jiang
Yuqi Yang
Qibin Hou
Yunchao Wei
26
121
0
07 Apr 2022
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene
  Segmentation
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation
Xiao Fu
Shangzhan Zhang
Tianrun Chen
Yichong Lu
Lanyun Zhu
Xiaowei Zhou
Andreas Geiger
Yiyi Liao
3DPC
26
161
0
29 Mar 2022
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency
  Regularization
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization
Yue Duan
Zhen Zhao
Lei Qi
Lei Wang
Luping Zhou
Yinghuan Shi
Yang Gao
38
33
0
27 Mar 2022
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and
  Semi-Supervised Semantic Segmentation
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation
Junwen Pan
Pengfei Zhu
Kaihua Zhang
Bing Cao
Yu Wang
Dingwen Zhang
Junwei Han
Q. Hu
21
60
0
19 Mar 2022
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object
  Detection in Autonomous Driving Systems
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems
Shu Hu
Chunfang Liu
Jayanta K. Dutta
Ming-Ching Chang
Siwei Lyu
Naveen Ramakrishnan
21
15
0
11 Mar 2022
Label-efficient Hybrid-supervised Learning for Medical Image
  Segmentation
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation
Junwen Pan
Qi Bi
Yanzhan Yang
Pengfei Zhu
Cheng Bian
29
21
0
10 Mar 2022
Cross Language Image Matching for Weakly Supervised Semantic
  Segmentation
Cross Language Image Matching for Weakly Supervised Semantic Segmentation
Jinheng Xie
Xianxu Hou
Kai Ye
Linlin Shen
CLIP
VLM
25
106
0
05 Mar 2022
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic
  Segmentation with Transformers
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
Lixiang Ru
Yibing Zhan
Baosheng Yu
Bo Du
ViT
49
181
0
05 Mar 2022
Modeling the Background for Incremental and Weakly-Supervised Semantic
  Segmentation
Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
CLL
31
8
0
31 Jan 2022
Deeply Explain CNN via Hierarchical Decomposition
Deeply Explain CNN via Hierarchical Decomposition
Mingg-Ming Cheng
Peng-Tao Jiang
Linghao Han
Liang Wang
Philip Torr
FAtt
53
15
0
23 Jan 2022
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled
  Images as Reference
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference
Peng Tu
Yawen Huang
Feng Zheng
Zhenyu He
Liujun Cao
Ling Shao
32
23
0
28 Dec 2021
Few-shot Font Generation with Weakly Supervised Localized
  Representations
Few-shot Font Generation with Weakly Supervised Localized Representations
Song Park
Sanghyuk Chun
Junbum Cha
Bado Lee
Hyunjung Shim
21
11
0
22 Dec 2021
Exploring Pixel-level Self-supervision for Weakly Supervised Semantic
  Segmentation
Exploring Pixel-level Self-supervision for Weakly Supervised Semantic Segmentation
Sung-Hoon Yoon
H. Kweon
Jaeseok Jeong
Hyeonseong Kim
Shinjeong Kim
Kuk-Jin Yoon
24
7
0
10 Dec 2021
Incremental Learning in Semantic Segmentation from Image Labels
Incremental Learning in Semantic Segmentation from Image Labels
Fabio Cermelli
Dario Fontanel
A. Tavera
Marco Ciccone
Barbara Caputo
VLM
CLL
37
48
0
03 Dec 2021
Background-Click Supervision for Temporal Action Localization
Background-Click Supervision for Temporal Action Localization
Le Yang
Junwei Han
Tao Zhao
Tianwei Lin
Dingwen Zhang
Jianxin Chen
31
61
0
24 Nov 2021
Unsupervised Foreground Extraction via Deep Region Competition
Unsupervised Foreground Extraction via Deep Region Competition
Peiyu Yu
Sirui Xie
Xiaojian Ma
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
OCL
36
42
0
29 Oct 2021
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty
R. Neven
D. Neven
Bert De Brabandere
Marc Proesmans
Toon Goedemé
UQCV
42
4
0
12 Oct 2021
Weak Novel Categories without Tears: A Survey on Weak-Shot Learning
Weak Novel Categories without Tears: A Survey on Weak-Shot Learning
Li Niu
VLM
OffRL
21
2
0
06 Oct 2021
Weak-shot Semantic Segmentation by Transferring Semantic Affinity and
  Boundary
Weak-shot Semantic Segmentation by Transferring Semantic Affinity and Boundary
Siyuan Zhou
Li Niu
Jianlou Si
Chao Qian
Liqing Zhang
15
10
0
04 Oct 2021
Deep Learning-Based Detection of the Acute Respiratory Distress
  Syndrome: What Are the Models Learning?
Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?
Gregory B. Rehm
Chao Wang
I. Cortés-Puch
Chen-Nee Chuah
Jason Y. Adams
30
1
0
25 Sep 2021
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
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