Deep transfer learning for image classification: a survey

20 May 2022

Tom Gedeon

Papers citing "Deep transfer learning for image classification: a survey"

50 / 99 papers shown

Title
An Information-Theoretic Approach to Transferability in Task Transfer Learning Yajie Bao Yongni Li Shao-Lun Huang Lin Zhang Lizhong Zheng Amir Zamir Leonidas Guibas 51 120 0 20 Dec 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 249 30,108 0 01 Mar 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 79 102 0 15 Jan 2022
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 91 118 0 05 Oct 2021
Non-binary deep transfer learning for image classification J. Plested Xuyang Shen Tom Gedeon MQ 41 5 0 19 Jul 2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types Thomas Mensink J. Uijlings Alina Kuznetsova Michael Gygli V. Ferrari VLM 88 83 0 24 Mar 2021
Supervised Transfer Learning at Scale for Medical Imaging Basil Mustafa Aaron Loh Jan Freyberg Patricia MacWilliams Megan Wilson ... Shruthi Prabhakara Umesh Telang Alan Karthikesalingam N. Houlsby Vivek Natarajan LM&MA 115 68 0 14 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi Basil Mustafa Fiona Ryan Zach Beaver Jan Freyberg ... Alan Karthikesalingam Simon Kornblith Ting-Li Chen Vivek Natarajan Mohammad Norouzi SSL 105 514 0 13 Jan 2021
Deep Visual Domain Adaptation G. Csurka OOD 185 185 0 28 Dec 2020
An analysis of the transfer learning of convolutional neural networks for artistic images Nicolas Gonthier Y. Gousseau Saïd Ladjal 46 18 0 05 Nov 2020
Why Do Better Loss Functions Lead to Less Transferable Features? Simon Kornblith Ting-Li Chen Honglak Lee Mohammad Norouzi FaML 75 92 0 30 Oct 2020
Scalable Transfer Learning with Expert Models J. Puigcerver C. Riquelme Basil Mustafa Cédric Renggli André Susano Pinto Sylvain Gelly Daniel Keysers N. Houlsby 117 62 0 28 Sep 2020
What is being transferred in transfer learning? Behnam Neyshabur Hanie Sedghi Chiyuan Zhang 92 519 0 26 Aug 2020
Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization Yunho Jeon Yongseok Choi Jaesun Park Subin Yi D.-Y. Cho Jiwon Kim 16 6 0 10 Jul 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 85 651 0 11 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 713 41,894 0 28 May 2020
Joint Liver Lesion Segmentation and Classification via Transfer Learning Michal Heker H. Greenspan MedIm 63 34 0 26 Apr 2020
TResNet: High Performance GPU-Dedicated Architecture T. Ridnik Hussam Lawen Asaf Noy Emanuel Ben-Baruch Gilad Sharir Itamar Friedman OOD 63 213 0 30 Mar 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 132 476 0 18 Mar 2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations Cuong V Nguyen Tal Hassner Matthias Seeger Cédric Archambeau 72 217 0 27 Feb 2020
Rethinking the Hyperparameters for Fine-tuning Hao Li Pratik Chaudhari Hao Yang Michael Lam Avinash Ravichandran Rahul Bhotika Stefano Soatto VLM 62 128 0 19 Feb 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 276 1,205 0 24 Dec 2019
Towards Making Deep Transfer Learning Never Hurt Ruosi Wan Haoyi Xiong Xingjian Li Zhanxing Zhu Jun Huan 47 21 0 18 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 304 2,387 0 11 Nov 2019
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 177 4,440 0 07 Nov 2019
Towards Understanding the Transferability of Deep Representations Hong Liu Mingsheng Long Jianmin Wang Michael I. Jordan 54 26 0 26 Sep 2019
Data Valuation using Reinforcement Learning Jinsung Yoon Sercan O. Arik Tomas Pfister TDI 80 179 0 25 Sep 2019
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning Linchao Zhu Sercan O. Arik Yezhou Yang Tomas Pfister 55 5 0 29 Aug 2019
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 166 166 0 21 Aug 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 193 1,469 0 16 Jul 2019
Understanding Deep Learning Techniques for Image Segmentation Swarnendu Ghosh N. Das Ishita Das U. Maulik SSeg VLM 44 376 0 13 Jul 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 62 2,651 0 05 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 131 18,106 0 28 May 2019
Billion-scale semi-supervised learning for image classification I. Z. Yalniz Hervé Jégou Kan Chen Manohar Paluri D. Mahajan SSL 88 463 0 02 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 83 1,810 0 10 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 167 3,429 0 28 Mar 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey Longlong Jing Yingli Tian SSL 108 1,697 0 16 Feb 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 77 983 0 14 Feb 2019
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks Xingjian Li Haoyi Xiong Hanchao Wang Yuxuan Rao Liping Liu Zeyu Chen Jun Huan 51 172 0 26 Jan 2019
Characterizing and Avoiding Negative Transfer Zirui Wang Zihang Dai Barnabás Póczós J. Carbonell 85 415 0 24 Nov 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 125 1,084 0 21 Nov 2018
SpotTune: Transfer Learning through Adaptive Fine-tuning Yunhui Guo Humphrey Shi Abhishek Kumar Kristen Grauman Tajana Simunic Rogerio Feris 71 451 0 21 Nov 2018
Domain Adaptive Transfer Learning with Specialist Models Jiquan Ngiam Daiyi Peng Vijay Vasudevan Simon Kornblith Quoc V. Le Ruoming Pang 55 108 0 16 Nov 2018
ScratchDet: Training Single-Shot Object Detectors from Scratch Rui Zhu Shifeng Zhang Xiaobo Wang Longyin Wen Hailin Shi Liefeng Bo Tao Mei ObjD 68 125 0 19 Oct 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 75 72 0 14 Aug 2018
A Survey on Deep Transfer Learning Chuanqi Tan F. Sun Tao Kong Wenchang Zhang Chao Yang Chunfang Liu 64 2,584 0 06 Aug 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning Huayu Chen Yang Song Chen Sun Andrew G. Howard Serge J. Belongie 104 479 0 16 Jun 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 153 1,327 0 23 May 2018
Adapted Deep Embeddings: A Synthesis of Methods for $k$ -Shot Inductive Transfer Learning Tyler R. Scott Karl Ridgeway Michael C. Mozer 60 84 0 22 May 2018
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten VLM 178 1,367 0 02 May 2018