:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yan, Hongwei, Sun, Guanglong, Zhou, Kanglei, Li, Qian, Wang, Liyuan, Zhong, Yi
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2602.01976
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Domain Generalizable Continual Learning
by: Yan, Hongwei, et al.
Published: (2025)

Right Time to Learn:Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation
by: Sun, Guanglong, et al.
Published: (2025)

Adaptive Score Alignment Learning for Continual Perceptual Quality Assessment of 360-Degree Videos in Virtual Reality
by: Zhou, Kanglei, et al.
Published: (2025)

BriMA: Bridged Modality Adaptation for Multi-Modal Continual Action Quality Assessment
by: Zhou, Kanglei, et al.
Published: (2026)

MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learning
by: Sun, Guanglong, et al.
Published: (2026)

PACE: Pretrained Audio Continual Learning
by: Li, Chang, et al.
Published: (2026)

Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection
by: Sun, Guanglong, et al.
Published: (2026)

Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
by: Kang, Zhiqi, et al.
Published: (2025)

A Comprehensive Survey of Action Quality Assessment: Method and Benchmark
by: Zhou, Kanglei, et al.
Published: (2024)

CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment
by: Zhou, Kanglei, et al.
Published: (2024)

Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation
by: Yan, HongWei, et al.
Published: (2024)

MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
by: Zhou, Kanglei, et al.
Published: (2024)

Continual Action Quality Assessment via Adaptive Manifold-Aligned Graph Regularization
by: Zhou, Kanglei, et al.
Published: (2025)

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

Task-conditioned Ensemble of Expert Models for Continuous Learning
by: Sharma, Renu, et al.
Published: (2025)

Transitive Vision-Language Prompt Learning for Domain Generalization
by: Wang, Liyuan, et al.
Published: (2024)

Memory-Inspired Temporal Prompt Interaction for Text-Image Classification
by: Yu, Xinyao, et al.
Published: (2024)

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation
by: Yang, Xiaomeng, et al.
Published: (2025)

Camera-Aware Cross-View Alignment for Referring 3D Gaussian Splatting Segmentation
by: Tao, Yuwen, et al.
Published: (2025)

Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning
by: Zou, Heming, et al.
Published: (2025)

Stable Routing for Mixture-of-Experts in Class-Incremental Learning
by: Guo, Zirui, et al.
Published: (2026)

LW2G: Learning Whether to Grow for Prompt-based Continual Learning
by: Feng, Qian, et al.
Published: (2024)

Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-Experts
by: Lou, Meng, et al.
Published: (2026)

Spike-NVPT: Learning Robust Visual Prompts via Bio-Inspired Temporal Filtering and Discretization
by: Zhan, Qiugang, et al.
Published: (2026)

Frequency-Aware Ensemble Learning for BraTS 2025 Pediatric Brain Tumor Segmentation
by: Yi, Yuxiao, et al.
Published: (2025)

Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
by: Khan, Hikmat, et al.
Published: (2024)

Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble
by: Wang, Jihang, et al.
Published: (2025)

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

Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning
by: Zhou, Zhongyi, et al.
Published: (2025)

Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts
by: Zhang, Chang-Bin, et al.
Published: (2024)

Brain-Inspired Stepwise Patch Merging for Vision Transformers
by: Yu, Yonghao, et al.
Published: (2024)

Mixture-of-Experts Models in Vision: Routing, Optimization, and Generalization
by: Rokah, Adam, et al.
Published: (2026)

Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts
by: Zhao, Yuyang, et al.
Published: (2023)

Brain-Inspired Multimodal Spiking Neural Network for Image-Text Retrieval
by: Zong, Xintao, et al.
Published: (2026)

Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptation
by: Chen, Zhi, et al.
Published: (2025)

ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model
by: Zang, Qi, et al.
Published: (2024)

User-Friendly Customized Generation with Multi-Modal Prompts
by: Zhong, Linhao, et al.
Published: (2024)

Expanding Zero-Shot Object Counting with Rich Prompts
by: Zhu, Huilin, et al.
Published: (2025)

AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation
by: Sun, Yongheng, et al.
Published: (2024)

Flying Bird Object Detection Algorithm in Surveillance Video Based on Motion Information
by: Sun, Ziwei, et al.
Published: (2023)