Semi-MoE: Mixture-of-Experts meets Semi-Supervised Histopathology Segmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Vu, Nguyen Lan Vi, Nguyen, Thanh-Huy, Nguyen, Thien, Kihara, Daisuke, Wang, Tianyang, Li, Xingjian, Xu, Min |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Knowledge Transferring with Switching Dual-Student Framework for Semi-Supervised Medical Image Segmentation
by: Nguyen, Hoang-Thien, et al.
Published: (2025)
by: Nguyen, Hoang-Thien, et al.
Published: (2025)
Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation
by: Pham, Ha-Hieu, et al.
Published: (2025)
by: Pham, Ha-Hieu, et al.
Published: (2025)
DuetMatch: Harmonizing Semi-Supervised Brain MRI Segmentation via Decoupled Branch Optimization
by: Nguyen, Thanh-Huy, et al.
Published: (2025)
by: Nguyen, Thanh-Huy, et al.
Published: (2025)
Modality-Specific Enhancement and Complementary Fusion for Semi-Supervised Multi-Modal Brain Tumor Segmentation
by: Chung, Tien-Dat, et al.
Published: (2025)
by: Chung, Tien-Dat, et al.
Published: (2025)
Domain-invariant Mixed-domain Semi-supervised Medical Image Segmentation with Clustered Maximum Mean Discrepancy Alignment
by: Lam, Ba-Thinh, et al.
Published: (2026)
by: Lam, Ba-Thinh, et al.
Published: (2026)
From Specialist to Generalist: Unlocking SAM's Learning Potential on Unlabeled Medical Images
by: Vu, Vi, et al.
Published: (2026)
by: Vu, Vi, et al.
Published: (2026)
HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation
by: Le, Tran Quoc Khanh, et al.
Published: (2025)
by: Le, Tran Quoc Khanh, et al.
Published: (2025)
Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells
by: Luu, Vinh Quoc, et al.
Published: (2024)
by: Luu, Vinh Quoc, et al.
Published: (2024)
Aligning What You Separate: Denoised Patch Mixing for Source-Free Domain Adaptation in Medical Image Segmentation
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)
UniSemAlign: Text-Prototype Alignment with a Foundation Encoder for Semi-Supervised Histopathology Segmentation
by: Thai, Le-Van, et al.
Published: (2026)
by: Thai, Le-Van, et al.
Published: (2026)
CP-MoE: Consistency-Preserving Mixture-of-Experts for Continual Learning
by: Liu, Yang, et al.
Published: (2026)
by: Liu, Yang, et al.
Published: (2026)
LPD: Learnable Prototypes with Diversity Regularization for Weakly Supervised Histopathology Segmentation
by: Le, Khang, et al.
Published: (2025)
by: Le, Khang, et al.
Published: (2025)
IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme
by: Tran, Dinh Dai Quan, et al.
Published: (2025)
by: Tran, Dinh Dai Quan, et al.
Published: (2025)
SAGE: Shape-Adapting Gated Experts for Adaptive Histopathology Image Segmentation
by: Thai, Gia Huy, et al.
Published: (2025)
by: Thai, Gia Huy, et al.
Published: (2025)
Seeing Through the Tool: A Controlled Benchmark for Occlusion Robustness in Foundation Segmentation Models
by: Ho, Nhan, et al.
Published: (2026)
by: Ho, Nhan, et al.
Published: (2026)
DualProtoSeg: Simple and Efficient Design with Text- and Image-Guided Prototype Learning for Weakly Supervised Histopathology Image Segmentation
by: Vu, Anh M., et al.
Published: (2025)
by: Vu, Anh M., et al.
Published: (2025)
Emotic Masked Autoencoder with Attention Fusion for Facial Expression Recognition
by: Nguyen-Xuan, Bach, et al.
Published: (2024)
by: Nguyen-Xuan, Bach, et al.
Published: (2024)
ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation
by: Le, Khang, et al.
Published: (2025)
by: Le, Khang, et al.
Published: (2025)
MoE3D: Mixture of Experts meets Multi-Modal 3D Understanding
by: Li, Yu, et al.
Published: (2025)
by: Li, Yu, et al.
Published: (2025)
Describe Anything Model for Visual Question Answering on Text-rich Images
by: Vu, Yen-Linh, et al.
Published: (2025)
by: Vu, Yen-Linh, et al.
Published: (2025)
Scribble-Supervised Medical Image Segmentation with Dynamic Teacher Switching and Hierarchical Consistency
by: Nguyen, Thanh-Huy, et al.
Published: (2026)
by: Nguyen, Thanh-Huy, et al.
Published: (2026)
CORA: Consistency-Guided Semi-Supervised Framework for Reasoning Segmentation
by: Howlader, Prantik, et al.
Published: (2025)
by: Howlader, Prantik, et al.
Published: (2025)
Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection
by: Phan-Nguyen, Huu-Phong, et al.
Published: (2025)
by: Phan-Nguyen, Huu-Phong, 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)
MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation
by: Xu, Meilong, et al.
Published: (2025)
by: Xu, Meilong, et al.
Published: (2025)
Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation
by: Huang, Kaiwen, et al.
Published: (2026)
by: Huang, Kaiwen, et al.
Published: (2026)
Brain Tumor Segmentation in MRI Images with 3D U-Net and Contextual Transformer
by: Nguyen, Thien-Qua T., et al.
Published: (2024)
by: Nguyen, Thien-Qua T., et al.
Published: (2024)
MoE-GS: Mixture of Experts for Dynamic Gaussian Splatting
by: Jin, In-Hwan, et al.
Published: (2025)
by: Jin, In-Hwan, et al.
Published: (2025)
Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning
by: Pham, Ha-Hieu, et al.
Published: (2026)
by: Pham, Ha-Hieu, et al.
Published: (2026)
The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation
by: Nguyen, Thanh-Danh, et al.
Published: (2023)
by: Nguyen, Thanh-Danh, et al.
Published: (2023)
Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation
by: Öttl, Mathias, et al.
Published: (2024)
by: Öttl, Mathias, et al.
Published: (2024)
Improved Segmentation of Polyps and Visual Explainability Analysis
by: Asare, Akwasi, et al.
Published: (2025)
by: Asare, Akwasi, et al.
Published: (2025)
Semise: Semi-supervised learning for severity representation in medical image
by: Tran, Dung T., et al.
Published: (2025)
by: Tran, Dung T., et al.
Published: (2025)
Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts
by: Li, Yunxin, et al.
Published: (2024)
by: Li, Yunxin, et al.
Published: (2024)
Point-MoE: Large-Scale Multi-Dataset Training with Mixture-of-Experts for 3D Semantic Segmentation
by: Chen, Xuweiyi, et al.
Published: (2025)
by: Chen, Xuweiyi, et al.
Published: (2025)
Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models
by: Wang, Peiran, et al.
Published: (2025)
by: Wang, Peiran, et al.
Published: (2025)
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
by: Lin, Bin, et al.
Published: (2024)
by: Lin, Bin, et al.
Published: (2024)
GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Experts
by: Liao, Minwen, et al.
Published: (2025)
by: Liao, Minwen, et al.
Published: (2025)
TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts
by: Xu, Yu, et al.
Published: (2026)
by: Xu, Yu, et al.
Published: (2026)
Blurry-Consistency Segmentation Framework with Selective Stacking on Differential Interference Contrast 3D Breast Cancer Spheroid
by: Nguyen, Thanh-Huy, et al.
Published: (2024)
by: Nguyen, Thanh-Huy, et al.
Published: (2024)
Similar Items
-
Adaptive Knowledge Transferring with Switching Dual-Student Framework for Semi-Supervised Medical Image Segmentation
by: Nguyen, Hoang-Thien, et al.
Published: (2025) -
Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation
by: Pham, Ha-Hieu, et al.
Published: (2025) -
DuetMatch: Harmonizing Semi-Supervised Brain MRI Segmentation via Decoupled Branch Optimization
by: Nguyen, Thanh-Huy, et al.
Published: (2025) -
Modality-Specific Enhancement and Complementary Fusion for Semi-Supervised Multi-Modal Brain Tumor Segmentation
by: Chung, Tien-Dat, et al.
Published: (2025) -
Domain-invariant Mixed-domain Semi-supervised Medical Image Segmentation with Clustered Maximum Mean Discrepancy Alignment
by: Lam, Ba-Thinh, et al.
Published: (2026)