614 Open source projects that are alternatives of or similar to Hardnet

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

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

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).

Official Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)

(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

A PyTorch library for benchmarking deep metric learning. It's powerful.

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

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Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

Binary Convolution Network for faster real-time processing in ASICs

Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

vehicle image retrieval using k CNNs ensemble method

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

Hiding Images within other images using Deep Learning

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

This Telegram Bot can tell the anime when you send an screenshot to it

BCDU-Net : Medical Image Segmentation

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

A image registration method using convolutional neural network features.

Keras- Multi Label Image Classification

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Anime Scene Search by Image

Multi-view CNN (MVCNN) for shape recognition

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Outdated, see new https://github.com/braindecode/braindecode

A best practice for tensorflow project template architecture.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

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

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Simple and comprehensive tutorials in TensorFlow

Anomaly detection implemented in Keras

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

Velocity in deep-learning research

tensorflow implementation of Grad-CAM (CNN visualization)

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Code examples for new APIs of iOS 10.

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

Keras implementation of Non-local Neural Networks

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

Using siamese network to do dimensionality reduction and similar image retrieval

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

Machine learning algorithms for many-body quantum systems

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

Comparison of famous convolutional neural network models

A lightweight framework using binary hash codes and deep learning for fast image retrieval.

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Unofficial PyTorch Reimplementation of RandAugment.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.