Soft-Label Anonymous Gastric X-ray Image Distillation

7 April 2021

Guang Li

Ren Togo

Takahiro Ogawa

Miki Haseyama

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Papers citing "Soft-Label Anonymous Gastric X-ray Image Distillation"

23 / 23 papers shown

Title
Dataset Distillation with Probabilistic Latent Features Zhe Li Sarah Cechnicka Cheng Ouyang Katharina Breininger Peter Schüffler Bernhard Kainz DD 47 0 0 10 May 2025
Generative Dataset Distillation Based on Self-knowledge Distillation Longzhen Li Ge Li Ren Togo Keisuke Maeda Takahiro Ogawa Miki Haseyama DD 52 0 0 08 Jan 2025
Dataset Distillation in Medical Imaging: A Feasibility Study Muyang Li Can Cui Quan Liu Ruining Deng Tianyuan Yao Marilyn Lionts Yuankai Huo OOD DD 59 2 0 19 Jul 2024
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching Tao Feng Jie Zhang Peizheng Wang Zhijie Wang Shengyuan Pang DD 53 0 0 29 May 2023
Detecting the open-world objects with the help of the Brain Shuailei Ma Yuefeng Wang Ying-yu Wei Peihao Chen Zhixiang Ye Jiaqi Fan Enming Zhang Thomas H. Li VLM ObjD 24 2 0 21 Mar 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 55 121 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 49 88 0 13 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 47 73 0 11 Jan 2023
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling Guang Li Ren Togo Takahiro Ogawa Miki Haseyama SSL 38 8 0 19 Dec 2022
COVID-19 Detection Based on Self-Supervised Transfer Learning Using Chest X-Ray Images Guang Li Ren Togo Takahiro Ogawa Miki Haseyama SSL 32 21 0 19 Dec 2022
Accelerating Dataset Distillation via Model Augmentation Lei Zhang Jie M. Zhang Bowen Lei Subhabrata Mukherjee Xiang Pan Bo Zhao Caiwen Ding Heng Chang Dongkuan Xu DD 47 62 0 12 Dec 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 49 10 0 19 Nov 2022
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 32 40 0 29 Sep 2022
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments Rui Song Dai Liu Da Chen Andreas Festag Carsten Trinitis Martin Schulz Alois C. Knoll DD FedML 28 62 0 24 Aug 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 53 151 0 01 Jun 2022
Privacy for Free: How does Dataset Condensation Help Privacy? Tian Dong Bo Zhao Lingjuan Lyu DD 24 113 0 01 Jun 2022
Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context Adrián Inés Andrés Díaz-Pinto C. Domínguez Jónathan Heras Eloy J. Mata Vico Pascual 27 1 0 19 May 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 80 368 0 22 Mar 2022
Self-Supervised Learning for Gastritis Detection with Gastric X-ray Images Guang Li Ren Togo Takahiro Ogawa Miki Haseyama 33 11 0 07 Apr 2021
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 36 477 0 10 Jun 2020
Soft-Label Dataset Distillation and Text Dataset Distillation Ilia Sucholutsky Matthias Schonlau DD 33 131 0 06 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 443 11,715 0 09 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 340 10,633 0 19 Feb 2017