Cover Image

MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qiu, Zihuan, Xu, Yi, He, Chiyuan, Meng, Fanman, Xu, Linfeng, Wu, Qingbo, Li, Hongliang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DesCLIP: Robust Continual Learning via General Attribute Descriptions for VLM-Based Visual Recognition
by: He, Chiyuan, et al.
Published: (2025)

Continual Learning with Vision-Language Models via Semantic-Geometry Preservation
by: He, Chiyuan, et al.
Published: (2026)

Null-Space Filtering for Data-Free Continual Model Merging: Preserving Stability, Promoting Plasticity
by: Qiu, Zihuan, et al.
Published: (2025)

Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning
by: Qiu, Zihuan, et al.
Published: (2025)

Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning
by: Xu, Linfeng, et al.
Published: (2023)

Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion
by: Cheng, Shaoxu, et al.
Published: (2024)

Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion
by: Chen, Yukun, et al.
Published: (2025)

Few-Shot Continual Learning for Activity Recognition in Classroom Surveillance Images
by: Qian, Yilei, et al.
Published: (2024)

FireRescue: A UAV-Based Dataset and Enhanced YOLO Model for Object Detection in Fire Rescue Scenes
by: Xu, Qingyu, et al.
Published: (2025)

Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection
by: Zhao, Taijin, et al.
Published: (2025)

No Re-Train, More Gain: Upgrading Backbones with Diffusion model for Pixel-Wise and Weakly-Supervised Few-Shot Segmentation
by: Chen, Shuai, et al.
Published: (2024)

CMaP-SAM: Contraction Mapping Prior for SAM-driven Few-shot Segmentation
by: Chen, Shuai, et al.
Published: (2025)

Cross-modal Cognitive Consensus guided Audio-Visual Segmentation
by: Shi, Zhaofeng, et al.
Published: (2023)

Test-time Ego-Exo-centric Adaptation for Action Anticipation via Multi-Label Prototype Growing and Dual-Clue Consistency
by: Shi, Zhaofeng, et al.
Published: (2026)

Cognition Transferring and Decoupling for Text-supervised Egocentric Semantic Segmentation
by: Shi, Zhaofeng, et al.
Published: (2024)

SAVA-X: Ego-to-Exo Imitation Error Detection via Scene-Adaptive View Alignment and Bidirectional Cross View Fusion
by: Li, Xiang, et al.
Published: (2026)

Null-LoRA: Low-Rank Adaptation on Null Space
by: Zhang, Yi, et al.
Published: (2025)

CMP: A Composable Meta Prompt for SAM-Based Cross-Domain Few-Shot Segmentation
by: Chen, Shuai, et al.
Published: (2025)

DFR: A Decompose-Fuse-Reconstruct Framework for Multi-Modal Few-Shot Segmentation
by: Chen, Shuai, et al.
Published: (2025)

Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation
by: Chen, Qian, et al.
Published: (2024)

Unsupervised Ego- and Exo-centric Dense Procedural Activity Captioning via Gaze Consensus Adaptation
by: Shi, Zhaofeng, et al.
Published: (2025)

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
by: Zhang, Rongyu, et al.
Published: (2024)

MINGLE: VLMs for Semantically Complex Region Detection in Urban Scenes
by: Liu, Liu, et al.
Published: (2025)

Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts
by: Chen, Qizhou, et al.
Published: (2024)

ARIC: An Activity Recognition Dataset in Classroom Surveillance Images
by: Xu, Linfeng, et al.
Published: (2024)

Accurate and Efficient Low-Rank Model Merging in Core Space
by: Panariello, Aniello, et al.
Published: (2025)

Ada3Drift: Adaptive Training-Time Drifting for One-Step 3D Visuomotor Robotic Manipulation
by: Xu, Chongyang, et al.
Published: (2026)

Multi-Task Dense Prediction via Mixture of Low-Rank Experts
by: Yang, Yuqi, et al.
Published: (2024)

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

Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification
by: Nehdi, Taha Mustapha, et al.
Published: (2025)

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

GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection
by: Mei, Hefei, et al.
Published: (2023)

Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning
by: Cheng, De, et al.
Published: (2024)

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models
by: Kojima, Yuto, et al.
Published: (2025)

MoASE++: Mixture of Activation Sparsity Experts with Domain-Adaptive On-policy Distillation for Continual Test Time Adaptation
by: Zhang, Ronyu, et al.
Published: (2026)

Label-Free Cross-Task LoRA Merging with Null-Space Compression
by: Lee, Wonyoung, et al.
Published: (2026)

Specializing Foundation Models via Mixture of Low-Rank Experts for Comprehensive Head CT Analysis
by: Yoo, Youngjin, et al.
Published: (2026)

MME: Mixture of Mesh Experts with Random Walk Transformer Gating
by: Belder, Amir, et al.
Published: (2026)

Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
by: Tang, Anke, et al.
Published: (2024)

Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration
by: He, Haisen, et al.
Published: (2026)