A cross-library image augmentation module for Deep Learning Training
Published:
A versatile image augmentation framework incorporating 300+ operations from 8 popular libraries ”
Published:
A versatile image augmentation framework incorporating 300+ operations from 8 popular libraries ”
Published:
Performance studies of PCA, LDA, and their kernel versions to SVM, ML, KNN, GMM
Published:
Low-cost and high-efficient seismic image recovery and optimal sampling recommendation
Published:
An object-oriented “eraser” for images and videos
Published:
Use reinforcement learning to design a route for delivery man
Published:
A fully automatic iterative deep learning framework for cell segmentation on noisy Label
Published:
Convert gray images of border/vein to RGB leaf images using cGAN
Published:
A robust method to detect & profile injury-caused alterations to brain tissue at the multi-cellular scale
Published:
Accelerated large-scale image alignment by 10× with uniform keypoint control and multiprocessing
Published:
Wavelet analysis for recovering useful information from damages with as noise and blurs