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fm's Projects

cbd icon cbd

Official Inplementation of CVPR23 paper "Backdoor Defense via Deconfounded Representation Learning"

convolutional-kans icon convolutional-kans

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

copyequation icon copyequation

Copy equations from ChatGPT and Wikipedia into Word (MathML) and as LaTeX.

data-augmentation icon data-augmentation

Code for paper : An Effective Data Augmentation for Person Re-identification. By providing this code, you can simply verify the validity of the method proposed in the paper.

deepexplain icon deepexplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

deepxde icon deepxde

A library for scientific machine learning and physics-informed learning

editor icon editor

微信小程序富文本编辑器editor+rich-text

geo-fno icon geo-fno

Geometry-Aware Fourier Neural Operator (Geo-FNO)

gns icon gns

Graph Network Simulator

graph-cut-ransac icon graph-cut-ransac

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

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