Fake it till you make it: Learning transferable representations from synthetic ImageNet clones

16 December 2022

Mert Bulent Sariyildiz

Papers citing "Fake it till you make it: Learning transferable representations from synthetic ImageNet clones"

25 / 25 papers shown

Title
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition Rupayan Mallick Sibo Dong Nataniel Ruiz Sarah Adel Bargal DiffM 42 0 0 08 Apr 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 65 0 0 16 Mar 2025
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data Haoxin Li Boyang Li CoGe 67 0 0 03 Mar 2025
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better Scott Geng Cheng-Yu Hsieh Vivek Ramanujan Matthew Wallingford Chun-Liang Li Pang Wei Koh Ranjay Krishna DiffM 57 6 0 03 Jan 2025
TIPS: Text-Image Pretraining with Spatial awareness Kevis-Kokitsi Maninis Kaifeng Chen Soham Ghosh Arjun Karpur Koert Chen ... Jan Dlabal Dan Gnanapragasam Mojtaba Seyedhosseini Howard Zhou Andre Araujo VLM 30 3 0 21 Oct 2024
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? Che Liu Zhongwei Wan Haozhe Wang Yinda Chen T. Qaiser Chen Jin Fariba Yousefi Nikolay Burlutskiy Rossella Arcucci VLM SyDa LM&MA MedIm 50 2 0 17 Oct 2024
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models Salma Abdel Magid Weiwei Pan Simon Warchol Grace Guo Junsik Kim Mahia Rahman Hanspeter Pfister 84 0 0 06 Oct 2024
Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification Xinrui Zhou Yuhao Huang Haoran Dou Shijing Chen Ao Chang ... Jie Jessie Ren Ruobing Huang Jun Cheng Wufeng Xue Dong Ni MedIm 60 0 0 25 Sep 2024
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation Eyal Michaeli Ohad Fried 47 1 0 20 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 50 1 0 05 Jun 2024
Future-Proofing Class-Incremental Learning Quentin Jodelet Xin Liu Yin Jun Phua Tsuyoshi Murata VLM 34 2 0 04 Apr 2024
Learning Subject-Aware Cropping by Outpainting Professional Photos James Hong Lu Yuan Michael Gharbi Matthew Fisher Kayvon Fatahalian 15 2 0 19 Dec 2023
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification Victor G. Turrisi da Costa Nicola Dall’Asen Yiming Wang N. Sebe Elisa Ricci 33 2 0 05 Dec 2023
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images Zhuoran Yu Chenchen Zhu Sean Culatana Raghuraman Krishnamoorthi Fanyi Xiao Yong Jae Lee 109 13 0 04 Dec 2023
Reinforcement Learning from Diffusion Feedback: Q* for Image Search Aboli Rajan Marathe VLM 37 0 0 27 Nov 2023
Image Captions are Natural Prompts for Text-to-Image Models Shiye Lei Hao Chen Senyang Zhang Bo-Lu Zhao Dacheng Tao VLM 19 19 0 17 Jul 2023
Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves Sora Takashima Ryo Hayamizu Nakamasa Inoue Hirokatsu Kataoka Rio Yokota 60 18 0 02 Mar 2023
When does Bias Transfer in Transfer Learning? Hadi Salman Saachi Jain Andrew Ilyas Logan Engstrom Eric Wong A. Madry 33 34 0 06 Jul 2022
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 201 477 0 01 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,683 0 11 Feb 2021
Pre-training without Natural Images Hirokatsu Kataoka Kazushige Okayasu Asato Matsumoto Eisuke Yamagata Ryosuke Yamada Nakamasa Inoue Akio Nakamura Y. Satoh 79 115 0 21 Jan 2021
Robust and Generalizable Visual Representation Learning via Random Convolutions Zhenlin Xu Deyi Liu Junlin Yang Colin Raffel Marc Niethammer OOD AAML 41 189 0 25 Jul 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014