Cover Image

Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Su, Jiapeng, Fan, Qi, Lu, Guangming, Chen, Fanglin, Pei, Wenjie
Format:	Preprint
Published:	2024
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

D$^2$ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
by: Pei, Wenjie, et al.
Published: (2023)

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

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

Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining
by: Fan, Qi, et al.
Published: (2025)

Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining
by: Nie, Jiahao, et al.
Published: (2024)

Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation
by: Ma, Junyuan, et al.
Published: (2026)

Global-Local Stepwise Generative Network for Ultra High-Resolution Image Restoration
by: Feng, Xin, et al.
Published: (2022)

Cross-Domain Few-Shot Segmentation via Multi-view Progressive Adaptation
by: Nie, Jiahao, et al.
Published: (2026)

Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation
by: Chen, Jiayi, et al.
Published: (2024)

Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
by: Cong, Runmin, et al.
Published: (2025)

Boosting SAM for Cross-Domain Few-Shot Segmentation via Conditional Point Sparsification
by: Nie, Jiahao, et al.
Published: (2026)

HEAL: Learning-Free Source Free Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation
by: Shi, Yulong, et al.
Published: (2025)

APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
by: He, Weizhao, et al.
Published: (2024)

Contrastive Graph Modeling for Cross-Domain Few-Shot Medical Image Segmentation
by: Bo, Yuntian, et al.
Published: (2025)

A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping
by: Chen, Jiajun, et al.
Published: (2025)

CMP: A Composable Meta Prompt for SAM-Based Cross-Domain Few-Shot Segmentation
by: Chen, Shuai, et al.
Published: (2025)

Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation
by: Herzog, Jonas
Published: (2024)

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

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

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

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

WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text Spotting
by: Wu, Jingjing, et al.
Published: (2024)

Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
by: Zhou, Fei, et al.
Published: (2024)

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

Cross-Domain Few-Shot Segmentation via Ordinary Differential Equations over Time Intervals
by: Ni, Huan, et al.
Published: (2025)

FSDA-DG: Improving Cross-Domain Generalizability of Medical Image Segmentation with Few Source Domain Annotations
by: Ye, Zanting, et al.
Published: (2023)

Learning Multi-Modal Prototypes for Cross-Domain Few-Shot Object Detection
by: Wang, Wanqi, et al.
Published: (2026)

Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection
by: Li, Yu, et al.
Published: (2025)

Free Lunch to Meet the Gap: Intermediate Domain Reconstruction for Cross-Domain Few-Shot Learning
by: Zhang, Tong, et al.
Published: (2025)

SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation
by: Peng, Shi-Feng, et al.
Published: (2024)

Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition
by: Hatano, Masashi, et al.
Published: (2024)

Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
by: Zhang, Tiange, et al.
Published: (2024)

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
by: Wang, Yilong, et al.
Published: (2024)

Boosting Few-Shot Semantic Segmentation Via Segment Anything Model
by: Feng, Chen-Bin, et al.
Published: (2024)

Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
by: Xu, Huali, et al.
Published: (2023)

MindShot: A Few-Shot Brain Decoding Framework via Transferring Cross-Subject Prior and Distilling Frequency Domain Knowledge
by: Jiang, Shuai, et al.
Published: (2024)

Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning
by: Xu, Huali, et al.
Published: (2024)

RCoT-Seg: Reinforced Chain-of-Thought for Video Reasoning and Segmentation
by: Wen, Junwei, et al.
Published: (2026)

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

Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models
by: Markham, Georgia, et al.
Published: (2024)