Random Interpolation Resize: A free image data augmentation method for object detection in industry
- 6 May 2023
- journal article
- research article
- Published by Elsevier in Expert Systems with Applications
- Vol. 228
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (51875164)
- National Key Research and Development Program of China (2018YFB2003801)
This publication has 17 references indexed in Scilit:
- Tea chrysanthemum detection under unstructured environments using the TC-YOLO modelExpert Systems with Applications, 2022
- Automated prostate cancer grading and diagnosis system using deep learning-based Yolo object detection algorithmExpert Systems with Applications, 2022
- A lightweight detector based on attention mechanism for aluminum strip surface defect detectionComputers in Industry, 2022
- AYOLOv3-Tiny: An improved convolutional neural network architecture for real-time defect detection of PAD light guide platesComputers in Industry, 2022
- Detecting the shuttlecock for a badminton robot: A YOLO based approachExpert Systems with Applications, 2021
- A New Steel Defect Detection Algorithm Based on Deep LearningComputational Intelligence and Neuroscience, 2021
- MYOLOv3-Tiny: A new convolutional neural network architecture for real-time detection of track fastenersComputers in Industry, 2020
- Multisized Object Detection Using Spaceborne Optical ImageryIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
- SMOTE: Synthetic Minority Over-sampling TechniqueJournal of Artificial Intelligence Research, 2002
- An iteration method for the solution of the eigenvalue problem of linear differential and integral operatorsJournal of Research of the National Bureau of Standards, 1950