An overview of mixing augmentation methods and augmentation strategies

21 July 2021

Papers citing "An overview of mixing augmentation methods and augmentation strategies"

7 / 7 papers shown

Title
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Rini Smita Thakur Vinod K. Kurmi UQCV 29 1 0 03 Jan 2025
Neural Network Architecture for Database Augmentation Using Shared Features IV WilliamC.Sleeman R. Kapoor Preetam Ghosh OOD 13 0 0 02 Feb 2023
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering Madeline Navarro Santiago Segarra 25 7 0 27 Oct 2022
A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks Bin Hu Yu Sun •. A. K. Qin AI4CE 16 0 0 29 May 2022
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 85 33 0 03 Jun 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 195 173 0 05 Feb 2021
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016