ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.11186
  4. Cited By
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in
  Different Image Domains

A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains

24 December 2019
Lyndon Chan
Mahdi S. Hosseini
Konstantinos N. Plataniotis
ArXivPDFHTML

Papers citing "A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains"

34 / 34 papers shown
Title
Opening the black box of deep learning: Validating the statistical association between explainable artificial intelligence (XAI) and clinical domain knowledge in fundus image-based glaucoma diagnosis
Opening the black box of deep learning: Validating the statistical association between explainable artificial intelligence (XAI) and clinical domain knowledge in fundus image-based glaucoma diagnosis
Han Yuan
Lican Kang
Yong Li
28
0
0
06 Apr 2025
WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining
Haoran Wang
Lian Huai
Wenbin Li
Lei Qi
Xingqun Jiang
Yinghuan Shi
MedIm
59
2
0
06 Mar 2025
Enhancing Weakly Supervised Semantic Segmentation for Fibrosis via
  Controllable Image Generation
Enhancing Weakly Supervised Semantic Segmentation for Fibrosis via Controllable Image Generation
Zhiling Yue
Yingying Fang
Liutao Yang
Nikhil Baid
S. Walsh
Guang Yang
MedIm
39
0
0
05 Nov 2024
Upsampling DINOv2 features for unsupervised vision tasks and weakly
  supervised materials segmentation
Upsampling DINOv2 features for unsupervised vision tasks and weakly supervised materials segmentation
Ronan Docherty
Antonis Vamvakeros
Samuel J. Cooper
31
1
0
20 Oct 2024
Weakly-Supervised Semantic Segmentation with Image-Level Labels: from
  Traditional Models to Foundation Models
Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models
Zhaozheng Chen
Qianru Sun
VLM
27
7
0
19 Oct 2023
Background Activation Suppression for Weakly Supervised Object
  Localization and Semantic Segmentation
Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation
Wei Zhai
Ping Wu
Kai Zhu
Yang Cao
Feng Wu
Zheng-Jun Zha
WSOL
29
17
0
22 Sep 2023
Towards Generic Image Manipulation Detection with Weakly-Supervised
  Self-Consistency Learning
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning
Yuanhao Zhai
Tianyu Luan
David Doermann
Junsong Yuan
16
15
0
03 Sep 2023
Weakly supervised segmentation of intracranial aneurysms using a novel
  3D focal modulation UNet
Weakly supervised segmentation of intracranial aneurysms using a novel 3D focal modulation UNet
Amir Rasoulian
Arash Harirpoush
Soorena Salari
Yiming Xiao
21
1
0
06 Aug 2023
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation
  on MRI Brain Tumor
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor
Yu-Jen Chen
Xinrong Hu
Yi Shi
Tsung-Yi Ho
36
7
0
26 Jun 2023
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation
Zhijie Deng
Yucen Luo
19
6
0
06 Apr 2023
Weakly Supervised Joint Whole-Slide Segmentation and Classification in
  Prostate Cancer
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
Pushpak Pati
Guillaume Jaume
Zeineb Ayadi
Kevin Thandiackal
Behzad Bozorgtabar
M. Gabrani
O. Goksel
14
17
0
07 Jan 2023
ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation
ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation
Cenk Bircanoglu
N. Arica
VLM
26
5
0
22 Nov 2022
Pointly-Supervised Panoptic Segmentation
Pointly-Supervised Panoptic Segmentation
Junsong Fan
Zhaoxiang Zhang
T. Tan
22
23
0
25 Oct 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
16
1
0
29 Jul 2022
Learning to segment prostate cancer by aggressiveness from scribbles in
  bi-parametric MRI
Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI
Audrey Duran
Gaspard Dussert
Carole Lartizien
8
3
0
01 Jul 2022
Learning with Weak Annotations for Robust Maritime Obstacle Detection
Learning with Weak Annotations for Robust Maritime Obstacle Detection
Lojze Žust
Matej Kristan
16
1
0
27 Jun 2022
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised
  Semantic Segmentation and Localization
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
Andrea Vedaldi
28
159
0
16 May 2022
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised
  Semantic Segmentation with Multi-scale Inference
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference
Yang Liu
Ersi Zhang
Lulu Xu
Chufan Xiao
Xiao-Yu Zhong
...
Ming Xu
Yongbing Zhang
Dongmei Yu
C. Yan
Peiwu Qin
11
20
0
06 May 2022
Semantic Segmentation of Anaemic RBCs Using Multilevel Deep
  Convolutional Encoder-Decoder Network
Semantic Segmentation of Anaemic RBCs Using Multilevel Deep Convolutional Encoder-Decoder Network
Muhammad Shahzad
A. I. Umar
S. H. Shirazi
Israr Ahmed Shaikh
6
4
0
09 Feb 2022
Experimental Large-Scale Jet Flames' Geometrical Features Extraction for
  Risk Management Using Infrared Images and Deep Learning Segmentation Methods
Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods
Carmina Pérez-Guerrero
A. Palacios
Gilberto Ochoa-Ruiz
Christian Mata
J. Casal
M. González-Mendoza
Luis Eduardo Falcón-Morales
14
8
0
20 Jan 2022
Weakly Supervised Semantic Segmentation of Remote Sensing Images for
  Tree Species Classification Based on Explanation Methods
Weakly Supervised Semantic Segmentation of Remote Sensing Images for Tree Species Classification Based on Explanation Methods
Steve Ahlswede
T. Nimisha
C. Schulz
B. Kleinschmit
Begum Demir
14
6
0
19 Jan 2022
Weakly-Supervised Cloud Detection with Fixed-Point GANs
Weakly-Supervised Cloud Detection with Fixed-Point GANs
Joachim Nyborg
Ira Assent
10
7
0
23 Nov 2021
Rethinking Lightweight Convolutional Neural Networks for Efficient and
  High-quality Pavement Crack Detection
Rethinking Lightweight Convolutional Neural Networks for Efficient and High-quality Pavement Crack Detection
Kai Li
Jie Yang
Siwei Ma
Bo Wang
Shanshe Wang
Ying-fang Tian
Zhiquan Qi
37
7
0
13 Sep 2021
A Novel Graph-Theoretic Deep Representation Learning Method for
  Multi-Label Remote Sensing Image Retrieval
A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval
Gencer Sumbul
Begum Demir
14
9
0
01 Jun 2021
WeGleNet: A Weakly-Supervised Convolutional Neural Network for the
  Semantic Segmentation of Gleason Grades in Prostate Histology Images
WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images
Julio Silva-Rodríguez
Adrián Colomer
Valery Naranjo
21
42
0
21 May 2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels
  using Tissue Graphs
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
Valentin Anklin
Pushpak Pati
Guillaume Jaume
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Jean-Philippe Thiran
M. Sibony
M. Gabrani
O. Goksel
36
38
0
04 Mar 2021
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps
  for X-ray Segmentation
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
S. Gadgil
Mark Endo
Emily Wen
A. Ng
Pranav Rajpurkar
14
11
0
21 Feb 2021
Expectation-Maximization Regularized Deep Learning for Weakly Supervised
  Tumor Segmentation for Glioblastoma
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma
Chao Li
Wenjian Huang
Xi Chen
Yiran Wei
S. Price
Carola-Bibiane Schönlieb
MedIm
11
1
0
21 Jan 2021
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy
  Diagnosis
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis
G. Quellec
Hassan Al Hajj
M. Lamard
Pierre-Henri Conze
P. Massin
B. Cochener
14
53
0
13 Aug 2020
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray
  Images
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images
Ostap Viniavskyi
Mariia Dobko
Oles Dobosevych
15
25
0
01 Jul 2020
NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic
  Segmentation
NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation
Mariia Dobko
Ostap Viniavskyi
Oles Dobosevych
8
0
0
13 Jun 2020
NuClick: A Deep Learning Framework for Interactive Segmentation of
  Microscopy Images
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images
Navid Alemi Koohbanani
Mostafa Jahanifar
Neda Zamani Tajadin
Nasir M. Rajpoot
19
121
0
29 May 2020
A Survey on Deep Learning-based Architectures for Semantic Segmentation
  on 2D images
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
Irem Ülkü
Erdem Akagündüz
SSeg
17
188
0
21 Dec 2019
Learning Pixel-level Semantic Affinity with Image-level Supervision for
  Weakly Supervised Semantic Segmentation
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn
Suha Kwak
218
740
0
28 Mar 2018
1