:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ueno, Shiryu, Hayashi, Yoshikazu, Nakatsuka, Shunsuke, Yamada, Yusei, Aizawa, Hiroaki, Kato, Kunihito
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2502.09057
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Flatness-aware Curriculum Learning via Adversarial Difficulty
by: Aizawa, Hiroaki, et al.
Published: (2025)

Patch Pruning Strategy Based on Robust Statistical Measures of Attention Weight Diversity in Vision Transformers
by: Igaue, Yuki, et al.
Published: (2025)

ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models
by: Sural, Shounak, et al.
Published: (2024)

Efficient Few-Shot Continual Learning in Vision-Language Models
by: Panos, Aristeidis, et al.
Published: (2025)

Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models
by: Meng, Tian, et al.
Published: (2024)

Semi-Supervised Few-Shot Adaptation of Vision-Language Models
by: Silva-Rodríguez, Julio, et al.
Published: (2026)

Low-Rank Few-Shot Adaptation of Vision-Language Models
by: Zanella, Maxime, et al.
Published: (2024)

Revisiting Few-Shot Object Detection with Vision-Language Models
by: Madan, Anish, et al.
Published: (2023)

Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation
by: Ding, Kun, et al.
Published: (2024)

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model
by: Li, Yushu, et al.
Published: (2024)

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

Rényi Attention Entropy for Patch Pruning
by: Aizawa, Hiroaki, et al.
Published: (2026)

Taylor Outlier Exposure
by: Fukuda, Kohei, et al.
Published: (2024)

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models
by: Khoury, Karim El, et al.
Published: (2025)

Auxiliary Descriptive Knowledge for Few-Shot Adaptation of Vision-Language Model
by: Lee, SuBeen, et al.
Published: (2025)

Enhancing Vision-Language Few-Shot Adaptation with Negative Learning
by: Zhang, Ce, et al.
Published: (2024)

Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in Histopathology
by: Tomar, Devavrat, et al.
Published: (2025)

Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot Learning
by: Chen, Dexia, et al.
Published: (2025)

Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling
by: Wong, Bryan, et al.
Published: (2025)

Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
by: P, Jishnu Jaykumar, et al.
Published: (2023)

Logit Mixture Outlier Exposure for Fine-grained Out-of-Distribution Detection
by: Shinohara, Akito, et al.
Published: (2025)

Class-wise Flooding Regularization for Imbalanced Image Classification
by: Aizawa, Hiroaki, et al.
Published: (2025)

A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
by: Silva-Rodríguez, Julio, et al.
Published: (2023)

FSDAM: Few-Shot Driving Attention Modeling via Vision-Language Coupling
by: Hamid, Kaiser, et al.
Published: (2025)

Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models
by: Li, Xudong, et al.
Published: (2024)

Accelerating New Product Introduction for Visual Quality Inspection via Few-Shot Diffusion-Based Defect Synthesis
by: Güğül, Serkan Hamdi, et al.
Published: (2026)

The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning
by: Li, Yaohui, et al.
Published: (2024)

Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models
by: Chen, Dexia, et al.
Published: (2025)

Efficient Few-Shot Learning in Remote Sensing: Fusing Vision and Vision-Language Models
by: Chua, Jia Yun, et al.
Published: (2025)

Few-Shot Adversarial Prompt Learning on Vision-Language Models
by: Zhou, Yiwei, et al.
Published: (2024)

Visual In-Context Learning for Large Vision-Language Models
by: Zhou, Yucheng, et al.
Published: (2024)

Seeing the Unseen: Towards Zero-Shot Inspection for Wind Turbine Blades using Knowledge-Augmented Vision Language Models
by: Zhang, Yang, et al.
Published: (2025)

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification
by: Wang, Zhongqi, et al.
Published: (2025)

Noise-Tolerant Few-Shot Unsupervised Adapter for Vision-Language Models
by: Ali, Eman, et al.
Published: (2023)

Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
by: Park, Keon-Hee, et al.
Published: (2024)

Fourier-Attentive Representation Learning: A Fourier-Guided Framework for Few-Shot Generalization in Vision-Language Models
by: Pham, Hieu Dinh Trung, et al.
Published: (2025)

MGPATH: Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot WSI Classification
by: Nguyen, Anh-Tien, et al.
Published: (2025)

Small Object Few-shot Segmentation for Vision-based Industrial Inspection
by: Zhang, Zilong, et al.
Published: (2024)

Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
by: Farina, Matteo, et al.
Published: (2025)

Few-Shot Object Detection with Sparse Context Transformers
by: Mei, Jie, et al.
Published: (2024)