Cover Image

Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yi, Shuai, Zou, Yixiong, Li, Yuhua, Li, Ruixuan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning
by: Jiang, Yongwei, et al.
Published: (2025)

Random Registers for Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2025)

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2026)

Reviving In-domain Fine-tuning Methods for Source-Free Cross-domain Few-shot Learning
by: Zhao, Yaze, et al.
Published: (2026)

Mind the Discriminability Trap in Source-Free Cross-domain Few-shot Learning
by: Zhang, Zhenyu, et al.
Published: (2026)

Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning
by: Yi, Shuai, et al.
Published: (2026)

Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
by: Ma, Ran, et al.
Published: (2024)

Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection
by: Jiang, Yongwei, et al.
Published: (2026)

MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
by: Zhang, Zhenyu, et al.
Published: (2024)

Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment
by: Zhao, Yaze, et al.
Published: (2026)

The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
by: Liu, Yuhan, et al.
Published: (2025)

Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
by: Tong, Jintao, et al.
Published: (2024)

Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
by: Zou, Yixiong, 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)

Compositional Few-Shot Class-Incremental Learning
by: Zou, Yixiong, et al.
Published: (2024)

Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
by: Tong, Jintao, et al.
Published: (2025)

Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
by: Zhou, Haichen, et al.
Published: (2024)

Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
by: Tong, Jintao, et al.
Published: (2025)

Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning
by: Zhang, Zhenyu, et al.
Published: (2025)

Geometry-aware Prototype Learning for Cross-domain Few-shot Medical Image Segmentation
by: Song, Feifan, et al.
Published: (2026)

FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
by: Bo, Yuntian, et al.
Published: (2024)

RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
by: Zhu, Yazhou, et al.
Published: (2024)

Adaptive Semantic Consistency for Cross-domain Few-shot Classification
by: Lu, Hengchu, et al.
Published: (2023)

Bridging Granularity Gaps: Hierarchical Semantic Learning for Cross-domain Few-shot Segmentation
by: Sun, Sujun, et al.
Published: (2025)

From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning
by: Li, Shuangzhi, et al.
Published: (2025)

Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition
by: Gan, Yaozong, et al.
Published: (2024)

FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
by: Shi, Ruixiao, et al.
Published: (2025)

Few-shot Oriented Object Detection with Memorable Contrastive Learning in Remote Sensing Images
by: Zhou, Jiawei, et al.
Published: (2024)

FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models
by: Tong, Jintao, et al.
Published: (2025)

Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learning
by: Xu, Huali, et al.
Published: (2024)

TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation
by: Yang, Jiaqi, et al.
Published: (2024)

Cross-domain Multi-modal Few-shot Object Detection via Rich Text
by: Shangguan, Zeyu, et al.
Published: (2024)

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering
by: Liu, Chun, et al.
Published: (2025)

PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
by: Su, Meijuan, et al.
Published: (2023)

MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation
by: Zhu, Yazhou, et al.
Published: (2025)

Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment
by: Shangguan, Zeyu, et al.
Published: (2025)

DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition
by: Guo, Fei, 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)

Trajectory-aligned Space-time Tokens for Few-shot Action Recognition
by: Kumar, Pulkit, et al.
Published: (2024)

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