Cross-Domain Few-Shot Learning via Adaptive Transformer Networks

25 January 2024

Papers citing "Cross-Domain Few-Shot Learning via Adaptive Transformer Networks"

21 / 21 papers shown

Title
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 107 14 0 15 Mar 2023
TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation Jinyu Yang Jingjing Liu N. Xu Junzhou Huang 73 127 0 12 Aug 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation Haoqing Wang Zhihong Deng 80 123 0 29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 694 6,121 0 29 Apr 2021
Escaping the Big Data Paradigm with Compact Transformers Ali Hassani Steven Walton Nikhil Shah Abulikemu Abuduweili Jiachen Li Humphrey Shi 120 462 0 12 Apr 2021
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 102 107 0 15 Oct 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 89 126 0 21 Jun 2020
Improving the Backpropagation Algorithm with Consequentialism Weight Updates over Mini-Batches Naeem Paeedeh Kamaledin Ghiasi-Shirazi ODL 54 8 0 11 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,778 0 13 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 77 392 0 23 Jan 2020
A Broader Study of Cross-Domain Few-Shot Learning Yunhui Guo Noel Codella Leonid Karlinsky James V. Codella John R. Smith Kate Saenko Tajana Simunic Rogerio Feris 61 45 0 16 Dec 2019
Open Set Domain Adaptation: Theoretical Bound and Algorithm Zhen Fang Jie Lu Feng Liu Junyu Xuan Guangquan Zhang 50 154 0 19 Jul 2019
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 202 1,071 0 06 Dec 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 70 1,283 0 02 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 301 4,050 0 16 Nov 2017
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification P. Helber B. Bischke Andreas Dengel Damian Borth 139 1,820 0 31 Aug 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 303 8,145 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,937 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 373 7,323 0 13 Jun 2016
Using Deep Learning for Image-Based Plant Disease Detection Sharada Mohanty David P. Hughes M. Salathé 45 3,123 0 11 Apr 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 383 9,511 0 28 May 2015