FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Tarubinga, Ebenezer, Kalafatovich, Jenifer, Lee, Seong-Whan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
by: Tarubinga, Ebenezer, et al.
Published: (2025)
by: Tarubinga, Ebenezer, et al.
Published: (2025)
Knowledge Consultation for Semi-Supervised Semantic Segmentation
by: Than, Thuan, et al.
Published: (2025)
by: Than, Thuan, et al.
Published: (2025)
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation
by: Ma, Chao, et al.
Published: (2024)
by: Ma, Chao, et al.
Published: (2024)
Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation
by: Zhang, Irina, et al.
Published: (2024)
by: Zhang, Irina, et al.
Published: (2024)
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
by: Wang, Ziyang, et al.
Published: (2022)
by: Wang, Ziyang, et al.
Published: (2022)
Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images
by: Jha, Abhishek, et al.
Published: (2024)
by: Jha, Abhishek, et al.
Published: (2024)
Uncertainty in Real-Time Semantic Segmentation on Embedded Systems
by: Goan, Ethan, et al.
Published: (2022)
by: Goan, Ethan, et al.
Published: (2022)
Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images
by: Hasan, Mahmudul, et al.
Published: (2024)
by: Hasan, Mahmudul, et al.
Published: (2024)
Guidelines for Cerebrovascular Segmentation: Managing Imperfect Annotations in the context of Semi-Supervised Learning
by: Rougé, Pierre, et al.
Published: (2024)
by: Rougé, Pierre, et al.
Published: (2024)
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
A Semi-Supervised Approach with Error Reflection for Echocardiography Segmentation
by: Han, Xiaoxiang, et al.
Published: (2024)
by: Han, Xiaoxiang, et al.
Published: (2024)
Weakly-Supervised Semantic Segmentation of Circular-Scan, Synthetic-Aperture-Sonar Imagery
by: Sledge, Isaac J., et al.
Published: (2024)
by: Sledge, Isaac J., et al.
Published: (2024)
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout
by: Zeevi, Tal, et al.
Published: (2025)
by: Zeevi, Tal, et al.
Published: (2025)
Tissue-Contrastive Semi-Masked Autoencoders for Segmentation Pretraining on Chest CT
by: Zheng, Jie, et al.
Published: (2024)
by: Zheng, Jie, et al.
Published: (2024)
Semi-Supervised Learning with Online Knowledge Distillation for Skin Lesion Classification
by: Manivannan, Siyamalan
Published: (2025)
by: Manivannan, Siyamalan
Published: (2025)
Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation
by: Bi, Yali, et al.
Published: (2025)
by: Bi, Yali, et al.
Published: (2025)
Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning
by: Hwang, Ung, et al.
Published: (2024)
by: Hwang, Ung, et al.
Published: (2024)
Confidence-Weighted Semi-Supervised Learning for Skin Lesion Segmentation Using Hybrid CNN-Transformer Networks
by: Qamar, Saqib
Published: (2025)
by: Qamar, Saqib
Published: (2025)
LUMINA-Net: Low-light Upgrade through Multi-stage Illumination and Noise Adaptation Network for Image Enhancement
by: Siddiqua, Namrah, et al.
Published: (2025)
by: Siddiqua, Namrah, et al.
Published: (2025)
Deep Supervision by Gaussian Pseudo-label-based Morphological Attention for Abdominal Aorta Segmentation in Non-Contrast CTs
by: Ma, Qixiang, et al.
Published: (2024)
by: Ma, Qixiang, et al.
Published: (2024)
A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation
by: Najafian, Keyhan, et al.
Published: (2024)
by: Najafian, Keyhan, et al.
Published: (2024)
Semi-Unsupervised Microscopy Segmentation with Fuzzy Logic and Spatial Statistics for Cross-Domain Analysis Using a GUI
by: Das, Surajit, et al.
Published: (2025)
by: Das, Surajit, et al.
Published: (2025)
Entropy-Guided Agreement-Diversity: A Semi-Supervised Active Learning Framework for Fetal Head Segmentation in Ultrasound
by: Wang, Fangyijie, et al.
Published: (2026)
by: Wang, Fangyijie, et al.
Published: (2026)
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation
by: Oh, Kwanseok, et al.
Published: (2024)
by: Oh, Kwanseok, et al.
Published: (2024)
Automated Segmentation of Ischemic Stroke Lesions in Non-Contrast Computed Tomography Images for Enhanced Treatment and Prognosis
by: Musah, Toufiq, et al.
Published: (2024)
by: Musah, Toufiq, et al.
Published: (2024)
MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation
by: Huang, Guantian, et al.
Published: (2024)
by: Huang, Guantian, et al.
Published: (2024)
P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation
by: Yao, Zhenyan, et al.
Published: (2025)
by: Yao, Zhenyan, et al.
Published: (2025)
HistoSegCap: Capsules for Weakly-Supervised Semantic Segmentation of Histological Tissue Type in Whole Slide Images
by: Mansoori, Mobina, et al.
Published: (2024)
by: Mansoori, Mobina, et al.
Published: (2024)
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery
by: Bourcier, Jules, et al.
Published: (2022)
by: Bourcier, Jules, et al.
Published: (2022)
Uncertainty-driven and Adversarial Calibration Learning for Epicardial Adipose Tissue Segmentation
by: Zhao, Kai, et al.
Published: (2024)
by: Zhao, Kai, et al.
Published: (2024)
Supervision by Denoising for Medical Image Segmentation
by: Young, Sean I., et al.
Published: (2022)
by: Young, Sean I., et al.
Published: (2022)
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
by: Zhu, Guanghao, et al.
Published: (2024)
by: Zhu, Guanghao, et al.
Published: (2024)
TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation
by: Wang, Mengzhu, et al.
Published: (2025)
by: Wang, Mengzhu, et al.
Published: (2025)
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation
by: Galati, Francesco, et al.
Published: (2023)
by: Galati, Francesco, et al.
Published: (2023)
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency
by: Zheng, Yubin, et al.
Published: (2024)
by: Zheng, Yubin, et al.
Published: (2024)
Semantic Segmentation for Histopathology using Learned Regularization based on Global Proportions
by: Li, Yangping, et al.
Published: (2026)
by: Li, Yangping, et al.
Published: (2026)
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation
by: Huang, Tianyu, et al.
Published: (2024)
by: Huang, Tianyu, et al.
Published: (2024)
Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation
by: Cheng, Yuxuan, et al.
Published: (2024)
by: Cheng, Yuxuan, et al.
Published: (2024)
Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation
by: Kumari, Suruchi, et al.
Published: (2024)
by: Kumari, Suruchi, et al.
Published: (2024)
Towards Trustworthy Breast Tumor Segmentation in Ultrasound using Monte Carlo Dropout and Deep Ensembles for Epistemic Uncertainty Estimation
by: Musah, Toufiq, et al.
Published: (2025)
by: Musah, Toufiq, et al.
Published: (2025)
Similar Items
-
CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
by: Tarubinga, Ebenezer, et al.
Published: (2025) -
Knowledge Consultation for Semi-Supervised Semantic Segmentation
by: Than, Thuan, et al.
Published: (2025) -
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation
by: Ma, Chao, et al.
Published: (2024) -
Utilizing Weak-to-Strong Consistency for Semi-Supervised Glomeruli Segmentation
by: Zhang, Irina, et al.
Published: (2024) -
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
by: Wang, Ziyang, et al.
Published: (2022)