NewCircleLiu

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

ai-deadlines

:alarm_clock: AI conference deadline countdowns

Awesome-Incremental-Learning

Awesome Incremental Learning

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

metric-learn

Metric learning algorithms in Python

CycleGAN-TensorFlow

An implementation of CycleGan using TensorFlow

awesome-capsule-networks

A curated list of awesome resources related to capsule networks

MatlabFunc

Matlab codes for feature learning

CycleGAN-Tensorflow-2

CycleGAN

Tensorflow implementation of CycleGAN

LibADMM-toolbox

A Library of ADMM for Sparse and Low-rank Optimization

FINCH-Clustering

Source Code for FINCH Clustering Algorithm

VaDE

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

iCaRL

Deep-subspace-clustering-networks

tensor-learning

Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.

subspace-clustering

Toolbox for large scale subspace clustering

rpcaADMM

Robust Principal Component Analysis via ADMM in Python

SigNet

SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification

Deep-Spectral-Clustering-using-Dual-Autoencoder-Network

Style-transfer-with-neural-algorithm

Implementation of style transfer by tensorflow, for detail please see the paper "Image Style Transfer Using Convolutional Neural Networks"(CVPR2016)

VAE-GAN

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

Graph-based-subspsce-clustering

LRSD-TNNSR

This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a Sparse Regularizer"

TNNR

This is an implementation of Truncated Nuclear Norm Regularization Method.

DW-TNNR

This is an implementation of Double Weighted Truncated Nuclear Norm Regularization Method.

LRSD-TNNSR

This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a Sparse Regularizer"

TNNR-WRE

This is an implementation of Truncated Nuclear Norm Regularization Method Based on Weighted Residual Error.