Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
Fuente:
arXiv
Saved in:
| Main Authors: | Dong, Wei, Yan, Dawei, Lin, Zhijun, Wang, Peng |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Split Adaptation for Pre-trained Vision Transformers
by: Wang, Lixu, et al.
Published: (2025)
by: Wang, Lixu, et al.
Published: (2025)
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
by: Dong, Wei, et al.
Published: (2024)
by: Dong, Wei, et al.
Published: (2024)
Cross-Modal Adapter: Parameter-Efficient Transfer Learning Approach for Vision-Language Models
by: Yang, Juncheng, et al.
Published: (2024)
by: Yang, Juncheng, et al.
Published: (2024)
Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer
by: Nagamori, Teru, et al.
Published: (2024)
by: Nagamori, Teru, et al.
Published: (2024)
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation
by: Wu, Yong, et al.
Published: (2024)
by: Wu, Yong, et al.
Published: (2024)
AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers
by: Khazem, Salim
Published: (2026)
by: Khazem, Salim
Published: (2026)
UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation
by: Duan, Lunhao, et al.
Published: (2024)
by: Duan, Lunhao, et al.
Published: (2024)
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
by: Dong, Wei, et al.
Published: (2024)
by: Dong, Wei, et al.
Published: (2024)
Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation
by: Ly, Son Thai, et al.
Published: (2024)
by: Ly, Son Thai, et al.
Published: (2024)
Efficient Prompting for Continual Adaptation to Missing Modalities
by: Guo, Zirun, et al.
Published: (2025)
by: Guo, Zirun, et al.
Published: (2025)
EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer
by: Abedi, Ali, et al.
Published: (2024)
by: Abedi, Ali, et al.
Published: (2024)
Vision Transformer-based Adversarial Domain Adaptation
by: Li, Yahan, et al.
Published: (2024)
by: Li, Yahan, et al.
Published: (2024)
Leveraging Registers in Vision Transformers for Robust Adaptation
by: Yellapragada, Srikar, et al.
Published: (2025)
by: Yellapragada, Srikar, et al.
Published: (2025)
Diversity-Guided MLP Reduction for Efficient Large Vision Transformers
by: Shen, Chengchao, et al.
Published: (2025)
by: Shen, Chengchao, et al.
Published: (2025)
Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA
by: Fa, Zhan, et al.
Published: (2026)
by: Fa, Zhan, et al.
Published: (2026)
Matryoshka Query Transformer for Large Vision-Language Models
by: Hu, Wenbo, et al.
Published: (2024)
by: Hu, Wenbo, et al.
Published: (2024)
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
by: Wang, Yan, et al.
Published: (2025)
by: Wang, Yan, et al.
Published: (2025)
Composing Open-domain Vision with RAG for Ocean Monitoring and Conservation
by: Dyanatkar, Sepand, et al.
Published: (2024)
by: Dyanatkar, Sepand, et al.
Published: (2024)
ReMem: Mutual Information-Aware Fine-tuning of Pretrained Vision Transformers for Effective Knowledge Distillation
by: Dong, Chengyu, et al.
Published: (2025)
by: Dong, Chengyu, et al.
Published: (2025)
Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization
by: Xing, Shuo, et al.
Published: (2025)
by: Xing, Shuo, et al.
Published: (2025)
Efficient Distillation of Classifier-Free Guidance using Adapters
by: Jensen, Cristian Perez, et al.
Published: (2025)
by: Jensen, Cristian Perez, et al.
Published: (2025)
SelaFD:Seamless Adaptation of Vision Transformer Fine-tuning for Radar-based Human Activity Recognition
by: Wang, Yijun, et al.
Published: (2025)
by: Wang, Yijun, et al.
Published: (2025)
LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
by: Luo, Mao-Lin, et al.
Published: (2025)
by: Luo, Mao-Lin, et al.
Published: (2025)
Noise-Tolerant Few-Shot Unsupervised Adapter for Vision-Language Models
by: Ali, Eman, et al.
Published: (2023)
by: Ali, Eman, et al.
Published: (2023)
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
by: Wang, Huiyi, et al.
Published: (2024)
by: Wang, Huiyi, et al.
Published: (2024)
Image-Specific Adaptation of Transformer Encoders for Compute-Efficient Segmentation
by: Yao, Manyi, et al.
Published: (2024)
by: Yao, Manyi, et al.
Published: (2024)
AnchorFormer: Differentiable Anchor Attention for Efficient Vision Transformer
by: Shan, Jiquan, et al.
Published: (2025)
by: Shan, Jiquan, et al.
Published: (2025)
Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation
by: Li, Jiacheng, et al.
Published: (2025)
by: Li, Jiacheng, et al.
Published: (2025)
PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction
by: Yilmaz, Rüveyda, et al.
Published: (2026)
by: Yilmaz, Rüveyda, et al.
Published: (2026)
Reason, Retrieve, Re-rank: A Zero-Shot Reasoning-Aware Framework for Composed Video Retrieval
by: Alavi, Ali
Published: (2026)
by: Alavi, Ali
Published: (2026)
Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
by: Jiang, Bo, et al.
Published: (2025)
by: Jiang, Bo, et al.
Published: (2025)
Attention Transfer Is Not Universally Effective for Vision Transformers
by: Qin, Huaiyuan, et al.
Published: (2026)
by: Qin, Huaiyuan, et al.
Published: (2026)
Continual Adaptation of Vision Transformers for Federated Learning
by: Halbe, Shaunak, et al.
Published: (2023)
by: Halbe, Shaunak, et al.
Published: (2023)
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks
by: Dhakal, Manish, et al.
Published: (2024)
by: Dhakal, Manish, et al.
Published: (2024)
A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter
by: Guo, Zirun, et al.
Published: (2024)
by: Guo, Zirun, et al.
Published: (2024)
Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning
by: Peng, Danni, et al.
Published: (2025)
by: Peng, Danni, et al.
Published: (2025)
Inside-Out: Measuring Generalization in Vision Transformers Through Inner Workings
by: Peng, Yunxiang, et al.
Published: (2026)
by: Peng, Yunxiang, et al.
Published: (2026)
RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models
by: Lin, Xiang, et al.
Published: (2025)
by: Lin, Xiang, et al.
Published: (2025)
SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation
by: Shen, Yixian, et al.
Published: (2025)
by: Shen, Yixian, et al.
Published: (2025)
ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts
by: Du, Sinan, et al.
Published: (2024)
by: Du, Sinan, et al.
Published: (2024)
Similar Items
-
Split Adaptation for Pre-trained Vision Transformers
by: Wang, Lixu, et al.
Published: (2025) -
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
by: Dong, Wei, et al.
Published: (2024) -
Cross-Modal Adapter: Parameter-Efficient Transfer Learning Approach for Vision-Language Models
by: Yang, Juncheng, et al.
Published: (2024) -
Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer
by: Nagamori, Teru, et al.
Published: (2024) -
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation
by: Wu, Yong, et al.
Published: (2024)