Training model architectures like VGG16, GoogLeNet, DenseNet etc on CIFAR-10 dataset

蜻蜓点论文 Think不Clear， 论文解读视频上传B站， youtube， 西瓜视频（同步到抖音）

📄 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks

Scaleable input gradient regularization

Implementation for "Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks"

Denoising Masked Autoencoders Help Robust Classification.

[ECCV 2020] Pytorch codes for Open-set Adversarial Defense

Contains implementation of denoising algorithms.

Dual residual attention network for image denoising (Pattern Recognition, 2024)

Code for "Understanding l4-Based Dictionary Learning: Interpretation, Stability, and Robustness."

Image Restoration Toolkit in PyTorch

PUDLE (Provable Unfolded Dictionary LEarning)

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

An official codebase of paper "Revisiting Sparse Convolutional Model for Visual Recognition"

An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328

[WACV 2019 Oral] Deep Micro-Dictionary Learning and Coding Network

CRsAE (constrained recurrent sparse autoencoder)

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

DEA (deep exponential auto-encoder)

PyTorch implementation of Deep Semantic Dictionary Learning for Multi-label Image Classification, AAAI 2021.

Implementation of "Learning Multiscale Convolutional Dictionaries for Image Reconstruction", IEEE Transaction On Computational Imaging, 2022.

Official Implementation of Poisson2Sparse - MICCAI 2022