output
19972023
most citedA Comprehensive Survey of Image Augmentation Techniques for Deep Learning

625 citations

Showing cs.CVShow all

5 papers · 1 filter

cs.CV2023★ 50 cited

Embrace Limited and Imperfect Training Datasets: Opportunities and Challenges in Plant Disease Recognition Using Deep Learning

Mingle Xu, Hyongsuk Kim, Jucheng Yang +5

Recent advancements in deep learning have brought significant improvements to plant disease recognition. However, achieving satisfactory performance often requires high-quality tra…

cs.CV2023★ 4 cited

Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames

Hemin Ali Qadir, Younghak Shin, Jacob Bergsland +1

An efficient deep learning model that can be implemented in real-time for polyp detection is crucial to reducing polyp miss-rate during screening procedures. Convolutional neural n…

cs.CV2023★ 5 cited

Variation-Aware Semantic Image Synthesis

Mingle Xu, Jaehwan Lee, Sook Yoon +2

Semantic image synthesis (SIS) aims to produce photorealistic images aligning to given conditional semantic layout and has witnessed a significant improvement in recent years. Alth…

cs.CV2022★ 625 cited

A Comprehensive Survey of Image Augmentation Techniques for Deep Learning

Mingle Xu, Sook Yoon, Alvaro Fuentes +1

Deep learning has been achieving decent performance in computer vision requiring a large volume of images, however, collecting images is expensive and difficult in many scenarios.…

cs.CV2019★ 1 cited

Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition

Haseeb Nazki, Sook Yoon, Alvaro Fuentes +1

Acquisition of data in task-specific applications of machine learning like plant disease recognition is a costly endeavor owing to the requirements of professional human diligence…