Airfoil flow field is of great significance to the design optimization of aircraft shape. Convolutional Neural Networks (CNNs) have been applied in flow field prediction studies, which greatly reduce ...

This project presents a comprehensive study comparing the performance of both the classical and deep learning approaches for estimating dense optical flow. We used the Farneback method as a ...

This repository contains the benchmark dataset and code for the paper "FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry" accepted at CHIL@2024, ...