:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Meihua, Tong, Xinyu, Yang, Li
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2605.02444
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CLoE: Expert Consistency Learning for Missing Modality Segmentation
by: Tong, Xinyu, et al.
Published: (2026)

BIG-MoE: Bypass Isolated Gating MoE for Generalized Multimodal Face Anti-Spoofing
by: Ma, Yingjie, et al.
Published: (2024)

MiM-DiT: MoE in MoE with Diffusion Transformers for All-in-One Image Restoration
by: Kong, Lingshun, et al.
Published: (2026)

Patch-MoE Mamba: A Patch-Ordered Mixture-of-Experts State Space Architecture for Medical Image Segmentation
by: Adame, Diego, et al.
Published: (2026)

$\mathcal{B}^{3}$-Net: Controlled Posterior Bridge Learning for Multi-Task Dense Prediction
by: Zhou, Meihua, et al.
Published: (2026)

{S\textsuperscript{2}M\textsuperscript{2}}: Scalable Stereo Matching Model for Reliable Depth Estimation
by: Min, Junhong, et al.
Published: (2025)

TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts
by: Xu, Yu, et al.
Published: (2026)

Point-MoE: Large-Scale Multi-Dataset Training with Mixture-of-Experts for 3D Semantic Segmentation
by: Chen, Xuweiyi, et al.
Published: (2025)

GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Experts
by: Liao, Minwen, et al.
Published: (2025)

Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data
by: Li, Yunxin, et al.
Published: (2025)

DCL-SE: Dynamic Curriculum Learning for Spatiotemporal Encoding of Brain Imaging
by: Zhou, Meihua, et al.
Published: (2025)

Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image Generation
by: Zheng, Youwei, et al.
Published: (2025)

MBDRes-U-Net: Multi-Scale Lightweight Brain Tumor Segmentation Network
by: Shen, Longfeng, et al.
Published: (2024)

Semi-MoE: Mixture-of-Experts meets Semi-Supervised Histopathology Segmentation
by: Vu, Nguyen Lan Vi, et al.
Published: (2025)

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models
by: Wang, Peiran, et al.
Published: (2025)

A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation
by: Wang, Ruoxin, et al.
Published: (2024)

Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance
by: Wei, Yujie, et al.
Published: (2025)

Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models
by: Jiang, Songtao, et al.
Published: (2024)

GazeFormer-MoE: Context-Aware Gaze Estimation via CLIP and MoE Transformer
by: Zhao, Xinyuan, et al.
Published: (2026)

Multi-Modal Brain Tumor Segmentation via 3D Multi-Scale Self-attention and Cross-attention
by: Huang, Yonghao, et al.
Published: (2025)

Nucleus-Image: Sparse MoE for Image Generation
by: Akiti, Chandan, et al.
Published: (2026)

GANet-Seg: Adversarial Learning for Brain Tumor Segmentation with Hybrid Generative Models
by: Cui, Qifei, et al.
Published: (2025)

CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling
by: Zhang, Jihai, et al.
Published: (2024)

SocialNav-MoE: A Mixture-of-Experts Vision Language Model for Socially Compliant Navigation with Reinforcement Fine-Tuning
by: Kawabata, Tomohito, et al.
Published: (2025)

Mamoda2.5: Enhancing Unified Multimodal Model with DiT-MoE
by: Shi, Yangming, et al.
Published: (2026)

RSGMamba: Reliability-Aware Self-Gated State Space Model for Multimodal Semantic Segmentation
by: Xu, Guoan, et al.
Published: (2026)

Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation
by: Zhu, Shenghao, et al.
Published: (2025)

Sparse Hypergraph-Enhanced Frame-Event Object Detection with Fine-Grained MoE
by: Bao, Wei, et al.
Published: (2026)

MoE-GS: Mixture of Experts for Dynamic Gaussian Splatting
by: Jin, In-Hwan, et al.
Published: (2025)

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation
by: Guo, Xiaodong, et al.
Published: (2025)

Lightweight Quad Bayer HybridEVS Demosaicing via State Space Augmented Cross-Attention
by: Zhou, Shiyang, et al.
Published: (2025)

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
by: Lin, Bin, et al.
Published: (2024)

MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis
by: Liu, Zhe, et al.
Published: (2025)

Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts
by: Li, Yunxin, et al.
Published: (2024)

PathMoE: Interpretable Multimodal Interaction Experts for Pediatric Brain Tumor Classification
by: Yu, Jian, et al.
Published: (2026)

Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
by: Tong, Jintao, et al.
Published: (2024)

Guiding the Experts: Semantic Priors for Efficient and Focused MoE Routing
by: Min, Chengxi, et al.
Published: (2025)

MoCHA: Advanced Vision-Language Reasoning with MoE Connector and Hierarchical Group Attention
by: Pang, Yuqi, et al.
Published: (2025)

eMoE-Tracker: Environmental MoE-based Transformer for Robust Event-guided Object Tracking
by: Chen, Yucheng, et al.
Published: (2024)

On-the-Fly Data Augmentation for Brain Tumor Segmentation
by: Jain, Ishika, et al.
Published: (2025)