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TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning

11 October 2022

Papers citing "TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning"

34 / 34 papers shown

Title
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation Jiaqi Yang Ye Huang Jingxi Hu Xiangjian He Linlin Shen Guoping Qiu VLM 123 1 0 31 Dec 2024
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 128 14 0 15 Mar 2023
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning Yuqian Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 68 20 0 15 Mar 2022
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-Xiong Wang José M. F. Moura 76 29 0 20 Sep 2021
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition Xiyao Liu Zhong Ji Yanwei Pang Zhongfei Zhang 69 17 0 03 Sep 2021
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning Zhong Ji Zhishen Hou Xiyao Liu Yanwei Pang Jungong Han 87 21 0 03 Sep 2021
Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder Hanwen Liang Qiong Zhang Peng Dai Juwei Lu 86 63 0 11 Aug 2021
Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data Yu Fu Yanwei Fu Yu-Gang Jiang 67 66 0 26 Jul 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation Haoqing Wang Zhihong Deng 99 123 0 29 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning Xiaoyu Lin Meng Ye Yunye Gong G. Buracas Nikoletta Basiou Ajay Divakaran Yi Yao 110 4 0 01 Apr 2021
Adversarially Optimized Mixup for Robust Classification Jason Bunk Srinjoy Chattopadhyay B. S. Manjunath S. Chandrasekaran AAML 124 8 0 22 Mar 2021
Dual-Awareness Attention for Few-Shot Object Detection Tung-I Chen Yueh-Cheng Liu Hung-Ting Su Yu-Cheng Chang Yu-Hsiang Lin Jia-Fong Yeh Wen-Chin Chen Winston H. Hsu ObjD 100 98 0 24 Feb 2021
Cross-domain few-shot learning with unlabelled data Fupin Yao 58 10 0 19 Jan 2021
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition Yuqian Fu Li Zhang Junke Wang Yanwei Fu Yu-Gang Jiang 72 97 0 20 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 126 108 0 15 Oct 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup Jang-Hyun Kim Wonho Choo Hyun Oh Song AAML 94 390 0 15 Sep 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification Jiamei Sun Sebastian Lapuschkin Wojciech Samek Yunqing Zhao Ngai-Man Cheung Alexander Binder 72 89 0 17 Jul 2020
Learning to Select Base Classes for Few-shot Classification Linjun Zhou Peng Cui Xu Jia Shiqiang Yang Q. Tian 86 26 0 01 Apr 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 77 394 0 23 Jan 2020
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 134 1,308 0 05 Dec 2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning Zhijun Mai Guosheng Hu Dexiong Chen Fumin Shen Heng Tao Shen 57 42 0 27 Aug 2019
Few-Shot Video Classification via Temporal Alignment Kaidi Cao Jingwei Ji Zhangjie Cao C. Chang Juan Carlos Niebles AI4TS 86 241 0 27 Jun 2019
MixUp as Directional Adversarial Training Guillaume P. Archambault Yongyi Mao Hongyu Guo Richong Zhang AAML 52 23 0 17 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 624 4,809 0 13 May 2019
MixUp as Locally Linear Out-Of-Manifold Regularization Hongyu Guo Yongyi Mao Richong Zhang 73 324 0 07 Sep 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 150 1,374 0 16 Jul 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 152 1,431 0 24 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 314 4,054 0 16 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 178 1,240 0 10 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 316 9,815 0 25 Oct 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 305 8,164 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 833 11,961 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 378 7,343 0 13 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015