GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets

26 August 2024

Didier Stricker

Papers citing "GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets"

30 / 30 papers shown

Title
Synthetic Data from Diffusion Models Improves ImageNet Classification Shekoofeh Azizi Simon Kornblith Chitwan Saharia Mohammad Norouzi David J. Fleet VLM DiffM 82 311 0 17 Apr 2023
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 74 88 0 28 Nov 2022
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 84 300 0 14 Oct 2022
Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets Zhiying Lu Hongtao Xie Chuanbin Liu Yongdong Zhang ViT 46 57 0 12 Oct 2022
Locality Guidance for Improving Vision Transformers on Tiny Datasets Kehan Li Runyi Yu Zhennan Wang Li-ming Yuan Guoli Song Jie Chen ViT 42 46 0 20 Jul 2022
On Data Scaling in Masked Image Modeling Zhenda Xie Zheng Zhang Yue Cao Yutong Lin Yixuan Wei Qi Dai Han Hu 61 55 0 09 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 160 1,952 0 01 Jun 2022
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness Giulio Lovisotto Nicole Finnie Mauricio Muñoz Chaithanya Kumar Mummadi J. H. Metzen AAML ViT 36 33 0 25 Mar 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 238 509 0 01 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 367 15,454 0 20 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 427 7,705 0 11 Nov 2021
Improving Robustness using Generated Data Sven Gowal Sylvestre-Alvise Rebuffi Olivia Wiles Florian Stimberg D. A. Calian Timothy A. Mann 68 299 0 18 Oct 2021
PVT v2: Improved Baselines with Pyramid Vision Transformer Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT AI4TS 89 1,661 0 25 Jun 2021
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts Chongzhi Zhang Mingyuan Zhang Shanghang Zhang Daisheng Jin Qiang-feng Zhou Zhongang Cai Haiyu Zhao Xianglong Liu Ziwei Liu 59 104 0 14 Jun 2021
Efficient Training of Visual Transformers with Small Datasets Yahui Liu E. Sangineto Wei Bi N. Sebe Bruno Lepri Marco De Nadai ViT 62 171 0 07 Jun 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 57 312 0 17 May 2021
Understanding Robustness of Transformers for Image Classification Srinadh Bhojanapalli Ayan Chakrabarti Daniel Glasner Daliang Li Thomas Unterthiner Andreas Veit ViT 80 384 0 26 Mar 2021
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases Stéphane dÁscoli Hugo Touvron Matthew L. Leavitt Ari S. Morcos Giulio Biroli Levent Sagun ViT 110 824 0 19 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 499 3,709 0 24 Feb 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 357 6,731 0 23 Dec 2020
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 550 40,739 0 22 Oct 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 310 1,727 0 29 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 127 1,882 0 11 Jun 2020
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 193 1,465 0 16 Jul 2019
Classification Accuracy Score for Conditional Generative Models Suman V. Ravuri Oriol Vinyals EGVM 80 233 0 26 May 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 604 4,766 0 13 May 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 160 3,423 0 28 Mar 2019
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern Menze 100 1,017 0 13 Jan 2019
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 271 9,743 0 25 Oct 2017
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification P. Helber B. Bischke Andreas Dengel Damian Borth 125 1,811 0 31 Aug 2017