481 Open source projects that are alternatives of or similar to Image_similarity

SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion

Image retrieval program made in Tensorflow supporting VGG16, VGG19, InceptionV3 and InceptionV4 pretrained networks and own trained Convolutional autoencoder.

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Convolutional Autoencoder for Loop Closure

Dual CNN Models for Unsupervised Monocular Depth Estimation

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Convolutional AutoEncoder application on MRI images

PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Large scale training of factorization models for Collaborative Filtering with PyTorch

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Pytorch implementation of the paper "Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach"

Matchable Image Retrieval by Learning from Surface Reconstruction

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Visual localization made easy with hloc

Composable GAN framework with api and user interface

IVA: Independent Vector Analysis implementation

📜 Self-Supervised Learning from Images: Up-to-date reading list.

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

2020华为DIGIX全球校园AI算法精英大赛计算机视觉赛道第三名解决方案

This project is intended to solve the task of massive image retrieval.

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Keras implementation of R-MAC+ descriptors

Proposal a new method to retrieval clothing images

📝Awesome and classical image retrieval papers

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

TensorFlow implementation of Deep Graph Infomax

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018

Unsupervised learning of atomic scale dynamics from molecular dynamics.

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

📈 Regression and Classification with UC Davis student quiz data and exam data

Code for unsupervised aspect extraction, using Keras and its Backends

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

Image Retrieval Experiment Using Triplet Loss

Automatic Feature Generation for Website Fingerprinting

code for unsupervised learning Neural Hidden Markov Models paper

Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"

Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)

Content-Based Image Retrieval system (KTH DD2476 Project)

This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Unsupervised Learning for Image Registration

Codebase for the Summary Loop paper at ACL2020

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

PHP-ML - Machine Learning library for PHP