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Self-paced and self-consistent co-training for semi-supervised image
  segmentation
v1v2v3v4 (latest)

Self-paced and self-consistent co-training for semi-supervised image segmentation

31 October 2020
Ping Wang
Jizong Peng
M. Pedersoli
Yuanfeng Zhou
Caiming Zhang
Christian Desrosiers
ArXiv (abs)PDFHTML

Papers citing "Self-paced and self-consistent co-training for semi-supervised image segmentation"

15 / 15 papers shown
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Zhiqiang Shen
Peng Cao
Junming Su
Jinzhu Yang
Osmar R. Zaiane
453
2
0
31 Jul 2024
Inherent Consistent Learning for Accurate Semi-supervised Medical Image
  Segmentation
Inherent Consistent Learning for Accurate Semi-supervised Medical Image SegmentationInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023
Ye Zhu
Jie Yang
Sichen Liu
Ruimao Zhang
397
8
0
24 Mar 2023
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action
  Representations
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action RepresentationsInternational Conference on Learning Representations (ICLR), 2023
Luca Franco
Paolo Mandica
Bharti Munjal
Fabio Galasso
SSL3DH
239
56
0
10 Mar 2023
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation
  in Video Person ReID
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReIDIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Djebril Mekhazni
Maximilien Dufau
Christian Desrosiers
M. Pedersoli
Mohammadhadi Shateri
266
9
0
07 Nov 2022
PA-Seg: Learning from Point Annotations for 3D Medical Image
  Segmentation using Contextual Regularization and Cross Knowledge Distillation
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge DistillationIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Shuwei Zhai
Guotai Wang
Xiangde Luo
Qian Yue
Kang Li
Shaoting Zhang
3DPC
294
42
0
11 Aug 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
467
280
0
28 Jul 2022
Leveraging Labeling Representations in Uncertainty-based Semi-supervised
  Segmentation
Leveraging Labeling Representations in Uncertainty-based Semi-supervised SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
V. SukeshAdiga
Jose Dolz
H. Lombaert
UQCV
137
20
0
10 Mar 2022
On the pitfalls of entropy-based uncertainty for multi-class
  semi-supervised segmentation
On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation
Martin Van Waerebeke
Gregory A. Lodygensky
Jose Dolz
UQCV
311
2
0
07 Mar 2022
Nuclei Segmentation with Point Annotations from Pathology Images via
  Self-Supervised Learning and Co-Training
Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training
Yi Lin
Z. Qu
Hao Chen
Zhongke Gao
Yuexiang Li
Lili Xia
Kai Ma
Yefeng Zheng
Kwang-Ting Cheng
232
49
0
16 Feb 2022
Semi-supervised Medical Image Segmentation via Geometry-aware
  Consistency Training
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training
Zihang Liu
Chunhui Zhao
266
4
0
12 Feb 2022
Diversified Multi-prototype Representation for Semi-supervised
  Segmentation
Diversified Multi-prototype Representation for Semi-supervised Segmentation
Jizong Peng
Christian Desrosiers
M. Pedersoli
189
1
0
16 Nov 2021
Segmentation with mixed supervision: Confidence maximization helps
  knowledge distillation
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation
Bingyuan Liu
Christian Desrosiers
Ismail Ben Ayed
Jose Dolz
399
23
0
21 Sep 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data
  Augmentation
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
Chen Chen
C. Qin
Cheng Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GANMedIm
319
64
0
07 Aug 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image
  Segmentation with Meta-labels
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labelsNeural Information Processing Systems (NeurIPS), 2021
Jizong Peng
Ping Wang
Chrisitian Desrosiers
M. Pedersoli
SSL
283
77
0
29 Jul 2021
Teach me to segment with mixed supervision: Confident students become
  masters
Teach me to segment with mixed supervision: Confident students become mastersInformation Processing in Medical Imaging (IPMI), 2020
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
285
28
0
15 Dec 2020
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