Local Patch AutoAugment with Multi-Agent Collaboration

20 March 2021

Papers citing "Local Patch AutoAugment with Multi-Agent Collaboration"

7 / 7 papers shown

Title
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 70 5 0 13 Mar 2024
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning Chaofan Ma Qisen Xu Xiangfeng Wang Bo Jin Xiaoyun Zhang Yanfeng Wang Ya Zhang 37 22 0 19 Mar 2023
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 31 39 0 14 Jun 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut Junlin Han Pengfei Fang Weihong Li Jie Hong M. Armin Ian Reid L. Petersson Hongdong Li 42 27 0 28 Jan 2022
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 205 176 0 05 Feb 2021
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches Ruoyi Du Dongliang Chang A. Bhunia Jiyang Xie Zhanyu Ma Yi-Zhe Song Jun Guo 76 291 0 08 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 309 10,233 0 16 Nov 2016