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Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization

28 March 2024

Papers citing "Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization"

45 / 45 papers shown

Title
Fill-Up: Balancing Long-Tailed Data with Generative Models Joonghyuk Shin Minguk Kang Jaesik Park 106 33 0 12 Jun 2023
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners Yonglong Tian Lijie Fan Phillip Isola Huiwen Chang Dilip Krishnan VLM DiffM 123 152 0 01 Jun 2023
Synthetic Data from Diffusion Models Improves ImageNet Classification Shekoofeh Azizi Simon Kornblith Chitwan Saharia Mohammad Norouzi David J. Fleet VLM DiffM 115 316 0 17 Apr 2023
Is synthetic data from generative models ready for image recognition? Ruifei He Shuyang Sun Xin Yu Chuhui Xue Wenqing Zhang Philip Torr Song Bai Xiaojuan Qi 107 302 0 14 Oct 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion Rinon Gal Yuval Alaluf Yuval Atzmon Or Patashnik Amit H. Bermano Gal Chechik Daniel Cohen-Or 168 1,898 0 02 Aug 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 196 3,978 0 26 Jul 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 469 6,083 0 23 May 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 425 6,921 0 13 Apr 2022
Visual Prompt Tuning Menglin Jia Luming Tang Bor-Chun Chen Claire Cardie Serge Belongie Bharath Hariharan Ser-Nam Lim VLM VPVLM 173 1,647 0 23 Mar 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 360 1,427 0 24 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 520 15,788 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 387 3,634 0 20 Dec 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 488 1,654 0 10 Nov 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 171 740 0 04 Sep 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models Elad Ben-Zaken Shauli Ravfogel Yoav Goldberg 202 1,244 0 18 Jun 2021
Generative Models as a Data Source for Multiview Representation Learning Ali Jahanian Xavier Puig Yonglong Tian Phillip Isola 99 128 0 09 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 310 7,971 0 11 May 2021
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort Yuxuan Zhang Huan Ling Jun Gao K. Yin Jean-Francois Lafleche Adela Barriuso Antonio Torralba Sanja Fidler 3DH GAN VLM 91 335 0 13 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.0K 29,926 0 26 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 684 41,563 0 22 Oct 2020
How Does Mixup Help With Robustness and Generalization? Linjun Zhang Zhun Deng Kenji Kawaguchi Amirata Ghorbani James Zou AAML 102 252 0 09 Oct 2020
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr Xingjian Li Haoyi Xiong Haozhe An Chengzhong Xu Dejing Dou ODL 66 39 0 07 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 776 18,408 0 19 Jun 2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations Cuong V Nguyen Tal Hassner Matthias Seeger Cédric Archambeau 87 220 0 27 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 398 18,913 0 13 Feb 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 295 1,211 0 24 Dec 2019
This dataset does not exist: training models from generated images Victor Besnier Himalaya Jain Andrei Bursuc Matthieu Cord P. Pérez DD 51 87 0 07 Nov 2019
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 170 1,332 0 23 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 205 1,371 0 02 May 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 126 1,223 0 23 Apr 2018
SentEval: An Evaluation Toolkit for Universal Sentence Representations Alexis Conneau Douwe Kiela 103 642 0 14 Mar 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 318 9,815 0 25 Oct 2017
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 128 3,070 0 19 Oct 2017
VisDA: The Visual Domain Adaptation Challenge Xingchao Peng Ben Usman Neela Kaushik Judy Hoffman Dequan Wang Kate Saenko OOD 93 807 0 18 Oct 2017
Learning multiple visual domains with residual adapters Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 185 940 0 22 May 2017
Speed/accuracy trade-offs for modern convolutional object detectors Jonathan Huang V. Rathod Chen Sun Menglong Zhu Anoop Korattikara Balan ... Ian S. Fischer Z. Wojna Yang Song S. Guadarrama Kevin Patrick Murphy 3DH 3DV 108 2,573 0 30 Nov 2016
Playing for Data: Ground Truth from Computer Games Stephan R. Richter Vibhav Vineet Stefan Roth V. Koltun VLM 126 2,016 0 07 Aug 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai Yi Li Kaiming He Jian Sun ObjD 187 5,650 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 543 62,477 0 04 Jun 2015
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 349 4,181 0 26 Apr 2015
Return of the Devil in the Details: Delving Deep into Convolutional Nets Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 226 3,420 0 14 May 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 163 4,949 0 23 Mar 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 195 4,954 0 06 Oct 2013
Fine-Grained Visual Classification of Aircraft Subhransu Maji Esa Rahtu Arno Solin Matthew Blaschko Andrea Vedaldi 135 2,274 0 21 Jun 2013