Is synthetic data from generative models ready for image recognition?

14 October 2022

Shuyang Sun

Xiaojuan Qi

Papers citing "Is synthetic data from generative models ready for image recognition?"

50 / 234 papers shown

Title
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models Lihe Yang Xiaogang Xu Bingyi Kang Yinghuan Shi Hengshuang Zhao 36 45 0 23 Oct 2023
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis Kai Chen Chunwei Wang Kuo Yang Jianhua Han Lanqing Hong ... Zhenguo Li Dit-Yan Yeung Lifeng Shang Xin Jiang Qun Liu 42 33 0 16 Oct 2023
Real-Fake: Effective Training Data Synthesis Through Distribution Matching Jianhao Yuan Jie Zhang Shuyang Sun Philip Torr Bo-Lu Zhao 30 22 0 16 Oct 2023
Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations Zhuoyan Li Hangxiao Zhu Zhuoran Lu Ming Yin SyDa 69 67 0 11 Oct 2023
A General Protocol to Probe Large Vision Models for 3D Physical Understanding Guanqi Zhan Chuanxia Zheng Weidi Xie Andrew Zisserman DiffM 26 14 0 10 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 31 18 0 03 Oct 2023
SYRAC: Synthesize, Rank, and Count Adrian dÁlessandro Ali Mahdavi-Amiri Ghassan Hamarneh DiffM 36 1 0 02 Oct 2023
Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association Qiyu Wu Mengjie Zhao Yutong He Lang Huang Junya Ono Hiromi Wakaki Yuki Mitsufuji 30 4 0 02 Oct 2023
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey Yunhao Chen Zihui Yan Yunjie Zhu 29 3 0 30 Sep 2023
Feedback-guided Data Synthesis for Imbalanced Classification Reyhane Askari Hemmat Mohammad Pezeshki Florian Bordes M. Drozdzal Adriana Romero Soriano SyDa 17 19 0 29 Sep 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples Shinýa Yamaguchi 41 2 0 28 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 25 54 0 23 Sep 2023
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs Tiep Le Vasudev Lal Phillip Howard DiffM 34 21 0 23 Sep 2023
Pre-training on Synthetic Driving Data for Trajectory Prediction Yiheng Li Seth Z. Zhao Chenfeng Xu Chen Tang Chenran Li Mingyu Ding Masayoshi Tomizuka Wei Zhan 40 11 0 18 Sep 2023
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation Z. Zang Hao Luo Kaixin Wang Panpan Zhang F. Wang Stan. Z Li Yang You 27 5 0 10 Sep 2023
CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images Sookwan Han Hanbyul Joo 32 14 0 23 Aug 2023
Diffusion Model as Representation Learner Xingyi Yang Xinchao Wang DiffM 30 54 0 21 Aug 2023
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations Sreyan Ghosh Chandra Kiran Reddy Evuru Sonal Kumar Utkarsh Tyagi Sakshi Singh Sanjoy Chowdhury Dinesh Manocha OOD 30 1 0 19 Aug 2023
Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage Dario Cioni Lorenzo Berlincioni Federico Becattini A. Bimbo DiffM 24 9 0 14 Aug 2023
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks David Junhao Zhang Mutian Xu Chuhui Xue Wenqing Zhang Xiaoguang Han Song Bai Mike Zheng Shou DiffM 56 6 0 13 Aug 2023
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity Melissa Hall Candace Ross Adina Williams Nicolas Carion M. Drozdzal Adriana Romero Soriano EGVM 27 5 0 11 Aug 2023
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models Wei Yu Wu Yuzhong Zhao Hao Chen Yuchao Gu Rui Zhao Yefei He Hong Zhou Mike Zheng Shou Chunhua Shen 39 96 0 11 Aug 2023
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions Juncheng Li Kaihang Pan Zhiqi Ge Minghe Gao Wei Ji Wenqiao Zhang Tat-Seng Chua Siliang Tang Hanwang Zhang Yueting Zhuang MLLM 35 68 0 08 Aug 2023
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning Florian Bordes Shashank Shekhar Mark Ibrahim Diane Bouchacourt Pascal Vincent Ari S. Morcos 36 26 0 08 Aug 2023
Improving Human-Object Interaction Detection via Virtual Image Learning Shuman Fang Shuai Liu Jie Li Guannan Jiang Xianming Lin Rongrong Ji VLM 25 5 0 04 Aug 2023
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation Jingfan Chen Yuxi Wang Peng Wang Xiao Chen Zhaoxiang Zhang Zhen Lei Qing Li DiffM 23 5 0 02 Aug 2023
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems Moon Ye-Bin Nam Hyeon-Woo Wonseok Choi Nayeong Kim Suha Kwak Tae-Hyun Oh DiffM 23 3 0 02 Aug 2023
Learning to Generate Training Datasets for Robust Semantic Segmentation Marwane Hariat Olivier Laurent Rémi Kazmierczak Shihao Zhang Andrei Bursuc Angela Yao Gianni Franchi UQCV 21 2 0 01 Aug 2023
Regularizing Neural Networks with Meta-Learning Generative Models Shinýa Yamaguchi Daiki Chijiwa Sekitoshi Kanai Atsutoshi Kumagai H. Kashima 44 4 0 26 Jul 2023
Benchmarking and Analyzing Generative Data for Visual Recognition Bo-wen Li Haotian Liu Liangyu Chen Yong Jae Lee C. Li Ziwei Liu EGVM VLM 18 4 0 25 Jul 2023
GEM: Boost Simple Network for Glass Surface Segmentation via Vision Foundation Models Jing Hao Xinyu Li Liang Gao Shumin Han VLM DiffM 25 2 0 22 Jul 2023
Improving Multimodal Datasets with Image Captioning Thao Nguyen S. Gadre Gabriel Ilharco Sewoong Oh Ludwig Schmidt VLM 19 70 0 19 Jul 2023
Image Captions are Natural Prompts for Text-to-Image Models Shiye Lei Hao Chen Senyang Zhang Bo-Lu Zhao Dacheng Tao VLM 32 19 0 17 Jul 2023
Self-Consuming Generative Models Go MAD Sina Alemohammad Josue Casco-Rodriguez Lorenzo Luzi Ahmed Imtiaz Humayun Hossein Babaei Daniel LeJeune Ali Siahkoohi Richard G. Baraniuk WIGM 21 140 0 04 Jul 2023
Class-Incremental Learning using Diffusion Model for Distillation and Replay Quentin Jodelet Xin Liu Yin Jun Phua T. Murata DiffM 19 30 0 30 Jun 2023
Federated Generative Learning with Foundation Models Jie Zhang Xiaohua Qi Bo-Lu Zhao FedML 39 21 0 28 Jun 2023
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing Zilun Zhang Tiancheng Zhao Yulong Guo Jianwei Yin DiffM VLM 32 52 0 20 Jun 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data Stephanie Fu Netanel Y. Tamir Shobhita Sundaram Lucy Chai Richard Y. Zhang Tali Dekel Phillip Isola EGVM 39 96 0 15 Jun 2023
Generating Images with 3D Annotations Using Diffusion Models Wufei Ma Qihao Liu Jiahao Wang Angtian Wang Xiaoding Yuan ... Ruxiao Duan Yongrui Qi Adam Kortylewski Yaoyao Liu Alan Yuille DiffM 23 4 0 13 Jun 2023
Unlocking Foundation Models for Privacy-Enhancing Speech Understanding: An Early Study on Low Resource Speech Training Leveraging Label-guided Synthetic Speech Content Tiantian Feng Digbalay Bose Xuan Shi Shrikanth Narayanan 31 1 0 13 Jun 2023
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts Karsten Roth Jae Myung Kim A. Sophia Koepke Oriol Vinyals Cordelia Schmid Zeynep Akata VLM 26 70 0 12 Jun 2023
Fill-Up: Balancing Long-Tailed Data with Generative Models Joonghyuk Shin Minguk Kang Jaesik Park 24 29 0 12 Jun 2023
EventCLIP: Adapting CLIP for Event-based Object Recognition Ziyi Wu Xudong Liu Igor Gilitschenski VLM 26 15 0 10 Jun 2023
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation Kai Chen Enze Xie Zhe Chen Yibo Wang Lanqing Hong Zhenguo Li Dit-Yan Yeung DiffM 20 21 0 07 Jun 2023
Multi-modal Latent Diffusion Mustapha Bounoua Giulio Franzese Pietro Michiardi DiffM 24 13 0 07 Jun 2023
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning Tuo Zhang Tiantian Feng Samiul Alam Dimitrios Dimitriadis Sunwoo Lee Mi Zhang Shrikanth S. Narayanan Salman Avestimehr FedML 13 27 0 03 Jun 2023
Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks Natalie Abreu Nathan Vaska Victoria Helus 30 0 0 01 Jun 2023
Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task Data Nathan Vaska Victoria Helus LRM 12 1 0 01 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 38 141 0 01 Jun 2023
Image Captioning with Multi-Context Synthetic Data Feipeng Ma Y. Zhou Fengyun Rao Yueyi Zhang Xiaoyan Sun DiffM 30 7 0 29 May 2023