MADONOKOUKI

Block-wise-Scrambled-Image-Recognition

Code for Adaptation Network introduced in "Block-wise Scrambled Image Recognition Using Adaptation Network" paper (AAAI WS 2020)

faster_rcnn_pytorch

Faster RCNN with PyTorch

gcce2022_instancewise_center_loss

psivt23_scramblemix

SIA-GAN

SPG_EI2020

Code of experiments in "Scrambling Parameter Generation to Improve Perceptual Information Hiding" paper (EI 2020)

MADONOKOUKI/Block-wise-Scrambled-Image-Recognition

Code for Adaptation Network introduced in "Block-wise Scrambled Image Recognition Using Adaptation Network" paper (AAAI WS 2020)

MADONOKOUKI/chess_java

Simple chess without any character but the chess!

MADONOKOUKI/augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

MADONOKOUKI/Blind_Accessibility_Papers

Papers about assistive technologies for visual impairments / 視覚障害者支援研究に関する論文の日本語まとめ

MADONOKOUKI/capsule-net-pytorch

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

MADONOKOUKI/chainer-gan-lib

Chainer implementation of recent GAN variants

MADONOKOUKI/Cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

MADONOKOUKI/Deep-Image-Prior

PyTorch implementation of the CVPR 2018 paper Deep Image Prior by Dmitry Ulyanov et. al.

MADONOKOUKI/DPN-Classification

MADONOKOUKI/fashion_mnist_dump

Get Fashion-MNIST data and export them as png files.

MADONOKOUKI/fourier_adv

MADONOKOUKI/fspool

[ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling

MADONOKOUKI/HFC

Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

MADONOKOUKI/kornia

Open Source Differentiable Computer Vision Library for PyTorch

MADONOKOUKI/learning-circuits

Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations

MADONOKOUKI/MultiObjectiveOptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

MADONOKOUKI/Privacy_In_CV_Papers

MADONOKOUKI/PySyft

A library for encrypted, privacy preserving machine learning

MADONOKOUKI/pytorch-AdaIN

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

MADONOKOUKI/pytorch_shake_shake

A PyTorch implementation of shake-shake

MADONOKOUKI/pytorch_Squeezenet

Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come

MADONOKOUKI/RKD

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

MADONOKOUKI/sewar

All image quality metrics you need in one package.

MADONOKOUKI/smop

Small Matlab to Python compiler

MADONOKOUKI/swd-pytorch

Sliced Wasserstein Distance (SWD) in PyTorch

MADONOKOUKI/Switchable-Normalization

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

MADONOKOUKI/Synchronized-BatchNorm-PyTorch

Synchronized Batch Normalization implementation in PyTorch.

MADONOKOUKI/VAE-GAN

Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"

MADONOKOUKI/video-quality

Video quality metrics, reference implementation in python: VIF, SSIM, PSNR, ...

MADONOKOUKI/wide-resnet.pytorch

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch