DAC: Disentanglement-and-Calibration Module for Cross-Domain Few-Shot Classification

DAC: Disentanglement-and-Calibration Module for Cross-Domain Few-Shot Classification

Cross-domain few-shot classification (CD-FSC) aims to develop few-shot classification models trained on seen domains but tested on unseen domains. However, the cross-domain setup poses a challenge in the form of domain shift between the training and testing domains. Previous research has demonstrate...

Full description

Bibliographic Details
Main Authors:	Hao Zheng, Qiang Zhang, Asako Kanezaki
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Cross-domain few-shot classification disentanglement domain shift representation learning
Online Access:	https://ieeexplore.ieee.org/document/10182258/

Similar Items

Cross-Domain Few-Shot Segmentation for Remote Sensing Image Based on Task Augmentation and Feature Disentanglement
by: Jiehu Chen, et al.
Published: (2024-01-01)

Tensor-Based Few-Shot Learning for Cross-Domain Hyperspectral Image Classification
by: Haojin Tang, et al.
Published: (2024-11-01)

Few-shot learning for skin lesion classification: A prototypical networks approach
by: Sireesha Chamarthi, et al.
Published: (2024-01-01)

Graph-Based Domain Adaptation Few-Shot Learning for Hyperspectral Image Classification
by: Yanbing Xu, et al.
Published: (2023-02-01)

From laboratory to field: cross-domain few-shot learning for crop disease identification in the field
by: Sen Yang, et al.
Published: (2024-12-01)

Few-Shot Methods for Aspect-Level Sentiment Analysis
by: Aleksander Wawer
Published: (2024-10-01)

Fully Self-Supervised Out-of-Domain Few-Shot Learning with Masked Autoencoders
by: Reece Walsh, et al.
Published: (2024-01-01)

Improving the generalizability of white blood cell classification with few-shot domain adaptation
by: Manon Chossegros, et al.
Published: (2024-12-01)

FDDS: Feature Disentangling and Domain Shifting for Domain Adaptation
by: Huan Chen, et al.
Published: (2023-07-01)

Domain-Invariant Few-Shot Contrastive Learning for Hyperspectral Image Classification
by: Wenchen Chen, et al.
Published: (2024-11-01)

Improving Domain-Generalized Few-Shot Text Classification with Multi-Level Distributional Signatures
by: Xuyang Wang, et al.
Published: (2023-01-01)

Discriminativeness-Preserved Domain Adaptation for Few-Shot Learning
by: Guangzhen Liu, et al.
Published: (2020-01-01)

Revisiting the Transferability of Few-Shot Image Classification: A Frequency Spectrum Perspective
by: Min Zhang, et al.
Published: (2024-05-01)

Toward Better Generalization of Cross-Domain Few-Shot Classification in Tibetan Character With Contrastive Learning and Meta Fine-Tuning
by: Xun Bao, et al.
Published: (2024-01-01)

A few-shot learning method for tobacco abnormality identification
by: Hong Lin, et al.
Published: (2024-03-01)

Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction
by: Nathan Cornille, et al.
Published: (2023-11-01)

Spectral-Spatial Domain Attention Network for Hyperspectral Image Few-Shot Classification
by: Zhongqiang Zhang, et al.
Published: (2024-02-01)

Deep Adversarial Domain Adaptation With Few-Shot Learning for Motor-Imagery Brain-Computer Interface
by: Chatrin Phunruangsakao, et al.
Published: (2022-01-01)

Convolutional Transformer-Based Few-Shot Learning for Cross-Domain Hyperspectral Image Classification
by: Yishu Peng, et al.
Published: (2023-01-01)

Learn to Few-Shot Segment Remote Sensing Images from Irrelevant Data
by: Qingwei Sun, et al.
Published: (2023-10-01)

Disentangled Prototypical Convolutional Network for Few-Shot Learning in In-Vehicle Noise Classification
by: Robin Inho Kee, et al.
Published: (2024-01-01)

Alleviating the medical strain: a triage method via cross-domain text classification
by: Xiao Xiao, et al.
Published: (2024-12-01)

Cross-Domain Disentanglement: A Novel Approach to Financial Market Prediction
by: Humam M. Abdulsahib, et al.
Published: (2024-01-01)

FREDC: A Few-Shot Relation Extraction Dataset for Chinese
by: Hankiz Yilahun, et al.
Published: (2025-01-01)

FREDA: Few-Shot Relation Extraction Based on Data Augmentation
by: Junbao Liu, et al.
Published: (2023-07-01)

Feature disentanglement based domain adaptation network for cross-scene coastal wetland hyperspectral image classification
by: Ziqi Xin, et al.
Published: (2024-05-01)

Attention Multisource Fusion-Based Deep Few-Shot Learning for Hyperspectral Image Classification
by: Xuejian Liang, et al.
Published: (2021-01-01)

Active Instance Selection for Few-Shot Classification
by: Junsup Shin, et al.
Published: (2022-01-01)

Multimodal few-shot classification without attribute embedding
by: Jun Qing Chang, et al.
Published: (2024-01-01)

Content-Attribute Disentanglement for Generalized Zero-Shot Learning
by: Yoojin An, et al.
Published: (2022-01-01)

A classification algorithm based on improved meta learning and transfer learning for few‐shot medical images
by: Bingjie Zhang, et al.
Published: (2023-10-01)

Cross-Domain Few-Shot Micro-Expression Recognition Incorporating Action Units
by: Yi Dai, et al.
Published: (2021-01-01)

Enhancing Few-Shot Image Classification With Cosine Transformer
by: Quang-Huy Nguyen, et al.
Published: (2023-01-01)

Survey on Few-shot Learning Algorithms for Image Classification
by: PENG Yun-cong, QIN Xiao-lin, ZHANG Li-ge, GU Yong-xiang
Published: (2022-05-01)

Inter-Domain Invariant Cross-Domain Object Detection Using Style and Content Disentanglement for In-Vehicle Images
by: Zhipeng Jiang, et al.
Published: (2024-01-01)

Task-Adaptive Multi-Source Representations for Few-Shot Image Recognition
by: Ge Liu, et al.
Published: (2024-05-01)

Scenario-adaptive wireless fall detection system based on few-shot learning
by: Yuting ZENG, et al.
Published: (2023-06-01)

Scenario-adaptive wireless fall detection system based on few-shot learning
by: Yuting ZENG, et al.
Published: (2023-06-01)

Reduce the User Burden of Multiuser Myoelectric Interface via Few-Shot Domain Adaptation
by: Bo Xue, et al.
Published: (2023-01-01)

See you somewhere in the ocean: few-shot domain adaptive underwater object detection
by: Lu Han, et al.
Published: (2023-05-01)