Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

23 January 2020

Hung-Yu Tseng

Hsin-Ying Lee

Jia-Bin Huang

Ming-Hsuan Yang

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Papers citing "Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation"

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Title
Hadamard product in deep learning: Introduction, Advances and Challenges Grigorios G. Chrysos Yongtao Wu Razvan Pascanu Philip Torr V. Cevher AAML 96 0 0 17 Apr 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning? Yiyi Zhang Ying Zheng Xiaogang Xu Jun Wang SSL 41 4 0 28 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 67 3 0 17 Jan 2025
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting Tiange Zhang Qing Cai Feng Gao Lin Qi Junyu Dong 27 1 0 24 Jun 2024
RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification June-Woo Kim Miika Toikkanen Sangmin Bae Minseok Kim Ho-Young Jung 30 5 0 05 May 2024
Domain Adaptive Few-Shot Open-Set Learning Debabrata Pal Deeptej More Sai Bhargav Dipesh Tamboli Vaneet Aggarwal Biplab Banerjee 24 2 0 22 Sep 2023
Learning to detect an animal sound from five examples I. Nolasco Shubhr Singh V. Morfi Vincent Lostanlen A. Strandburg-Peshkin ... Michael G. Emmerson E. Versace E. Grout Haohe Liu D. Stowell 36 37 0 22 May 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 27 0 0 13 Apr 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 27 13 0 15 Mar 2023
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 22 47 0 23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 22 17 0 22 Aug 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization Yuqing Wang Xiangxian Li Zhuang Qi Jingyu Li Xuelong Li Xiangxu Meng Lei Meng OOD OODD BDL 25 25 0 22 Aug 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 36 342 0 13 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 26 6 0 13 May 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 13 160 0 09 Apr 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 25 154 0 07 Mar 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 8 31 0 20 Jan 2022
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains Yuan-Chia Cheng Ci-Siang Lin Fu-En Yang Yu-Chiang Frank Wang 22 1 0 27 Dec 2021
Reciprocal Normalization for Domain Adaptation Zhiyong Huang Kekai Sheng Ke Li Jian Liang Taiping Yao Weiming Dong D. Zhou Xing Sun 31 11 0 20 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 27 21 0 15 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 33 30 0 01 Dec 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning Linlan Zhao Dashan Guo Yunlu Xu Liang Qiao Zhanzhan Cheng Shiliang Pu Yi Niu Xi Fang CLL 22 2 0 21 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 30 10 0 14 Oct 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 11 28 0 20 Sep 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning Shuai Shao Lei Xing Yan Wang Rui Xu Chunyan Zhao Yanjiang Wang Baodi Liu 28 35 0 16 Sep 2021
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization Mohammad Mahfujur Rahman Clinton Fookes S. Sridharan OOD 18 3 0 20 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding Sheng Huang Wanqi Yang Lei Wang Luping Zhou Ming Yang 25 8 0 06 Aug 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation Haoqing Wang Zhihong Deng 16 119 0 29 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Vincent Dumoulin N. Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle 17 26 0 06 Apr 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 40 56 0 29 Dec 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 4 2 0 19 Nov 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp G. Klambauer Sepp Hochreiter OOD 9 44 0 13 Oct 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning Jia-Fong Yeh Hsin-Ying Lee Bing-Chen Tsai Yi-Rong Chen Ping-Chia Huang Winston H. Hsu 11 14 0 19 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 38 1,923 0 11 Apr 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,344 0 12 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,677 0 09 Mar 2017
RenderGAN: Generating Realistic Labeled Data Leon Sixt Benjamin Wild Tim Landgraf GAN 155 174 0 04 Nov 2016
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 210 1,156 0 24 Oct 2016