Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Dexia, Zhu, Qianjie, Li, Weibing, Yu, Yue, Zhang, Tong, Wang, Ruixuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models
by: Chen, Dexia, et al.
Published: (2025)
by: Chen, Dexia, et al.
Published: (2025)
Concept-wise Attention for Fine-grained Concept Bottleneck Models
by: Zhong, Minghong, et al.
Published: (2026)
by: Zhong, Minghong, et al.
Published: (2026)
Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners
by: Liu, Mushui, et al.
Published: (2024)
by: Liu, Mushui, et al.
Published: (2024)
Singular Value Fine-tuning for Few-Shot Class-Incremental Learning
by: Wang, Zhiwu, et al.
Published: (2025)
by: Wang, Zhiwu, et al.
Published: (2025)
Reviving In-domain Fine-tuning Methods for Source-Free Cross-domain Few-shot Learning
by: Zhao, Yaze, et al.
Published: (2026)
by: Zhao, Yaze, et al.
Published: (2026)
Random Registers for Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2025)
by: Yi, Shuai, et al.
Published: (2025)
Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptation
by: Chen, Zhi, et al.
Published: (2025)
by: Chen, Zhi, et al.
Published: (2025)
Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation
by: Ding, Kun, et al.
Published: (2024)
by: Ding, Kun, et al.
Published: (2024)
Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model
by: Chen, Shiming, et al.
Published: (2025)
by: Chen, Shiming, et al.
Published: (2025)
Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection
by: Fan, Yuanting, et al.
Published: (2025)
by: Fan, Yuanting, et al.
Published: (2025)
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
by: Ma, Ran, et al.
Published: (2024)
by: Ma, Ran, et al.
Published: (2024)
Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning
by: Li, Xiaojie, et al.
Published: (2025)
by: Li, Xiaojie, et al.
Published: (2025)
Compositional Few-Shot Class-Incremental Learning
by: Zou, Yixiong, et al.
Published: (2024)
by: Zou, Yixiong, et al.
Published: (2024)
Sculpting Margin Penalty: Intra-Task Adapter Merging and Classifier Calibration for Few-Shot Class-Incremental Learning
by: Bai, Liang, et al.
Published: (2025)
by: Bai, Liang, et al.
Published: (2025)
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
by: Tong, Jintao, et al.
Published: (2024)
by: Tong, Jintao, et al.
Published: (2024)
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set Recognition
by: Zhang, Zhenyu, et al.
Published: (2024)
by: Zhang, Zhenyu, et al.
Published: (2024)
Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model
by: Luo, Zihao, et al.
Published: (2025)
by: Luo, Zihao, et al.
Published: (2025)
Representation Calibration and Uncertainty Guidance for Class-Incremental Learning based on Vision Language Model
by: Tan, Jiantao, et al.
Published: (2025)
by: Tan, Jiantao, et al.
Published: (2025)
TopoSculpt: Betti-Steered Topological Sculpting of 3D Fine-grained Tubular Shapes
by: Zhang, Minghui, et al.
Published: (2025)
by: Zhang, Minghui, et al.
Published: (2025)
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
by: P, Jishnu Jaykumar, et al.
Published: (2023)
by: P, Jishnu Jaykumar, et al.
Published: (2023)
Simulated Ensemble Attack: Transferring Jailbreaks Across Fine-tuned Vision-Language Models
by: Wang, Ruofan, et al.
Published: (2025)
by: Wang, Ruofan, et al.
Published: (2025)
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
by: Zhou, Yiyang, et al.
Published: (2024)
by: Zhou, Yiyang, et al.
Published: (2024)
INST-Sculpt: Interactive Stroke-based Neural SDF Sculpting
by: Rubab, Fizza, et al.
Published: (2025)
by: Rubab, Fizza, et al.
Published: (2025)
Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization
by: Tong, Baoshun, et al.
Published: (2024)
by: Tong, Baoshun, et al.
Published: (2024)
Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2026)
by: Yi, Shuai, et al.
Published: (2026)
Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
by: Ueno, Shiryu, et al.
Published: (2025)
by: Ueno, Shiryu, et al.
Published: (2025)
Efficient Few-Shot Continual Learning in Vision-Language Models
by: Panos, Aristeidis, et al.
Published: (2025)
by: Panos, Aristeidis, et al.
Published: (2025)
Semi-Supervised Few-Shot Adaptation of Vision-Language Models
by: Silva-Rodríguez, Julio, et al.
Published: (2026)
by: Silva-Rodríguez, Julio, et al.
Published: (2026)
Low-Rank Few-Shot Adaptation of Vision-Language Models
by: Zanella, Maxime, et al.
Published: (2024)
by: Zanella, Maxime, et al.
Published: (2024)
Revisiting Few-Shot Object Detection with Vision-Language Models
by: Madan, Anish, et al.
Published: (2023)
by: Madan, Anish, et al.
Published: (2023)
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
by: Zhu, Mingli, et al.
Published: (2024)
by: Zhu, Mingli, et al.
Published: (2024)
Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
by: Tong, Jintao, et al.
Published: (2025)
by: Tong, Jintao, et al.
Published: (2025)
Enhancing Vision-Language Few-Shot Adaptation with Negative Learning
by: Zhang, Ce, et al.
Published: (2024)
by: Zhang, Ce, et al.
Published: (2024)
UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation
by: Zhou, Yue, et al.
Published: (2025)
by: Zhou, Yue, et al.
Published: (2025)
Fine-Grained Prototypes Distillation for Few-Shot Object Detection
by: Wang, Zichen, et al.
Published: (2024)
by: Wang, Zichen, et al.
Published: (2024)
Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2026)
by: Yi, Shuai, et al.
Published: (2026)
AME: Aligned Manifold Entropy for Robust Vision-Language Distillation
by: Cao, Guiming, et al.
Published: (2025)
by: Cao, Guiming, et al.
Published: (2025)
Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models
by: Li, Xudong, et al.
Published: (2024)
by: Li, Xudong, et al.
Published: (2024)
Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models
by: Zeng, Fanhu, et al.
Published: (2025)
by: Zeng, Fanhu, et al.
Published: (2025)
Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models
by: Khoury, Karim El, et al.
Published: (2025)
by: Khoury, Karim El, et al.
Published: (2025)
Similar Items
-
Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models
by: Chen, Dexia, et al.
Published: (2025) -
Concept-wise Attention for Fine-grained Concept Bottleneck Models
by: Zhong, Minghong, et al.
Published: (2026) -
Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners
by: Liu, Mushui, et al.
Published: (2024) -
Singular Value Fine-tuning for Few-Shot Class-Incremental Learning
by: Wang, Zhiwu, et al.
Published: (2025) -
Reviving In-domain Fine-tuning Methods for Source-Free Cross-domain Few-shot Learning
by: Zhao, Yaze, et al.
Published: (2026)