Swimmingswam
Someone here is just a little bird to learn coding, wish to meet some insterested persons and greatful masters online on the dubuging way!
zhongshan & zhanjiang
Pinned Repositories
palmprint
try palmprint recognition on some methods such as one-shot leraning
koa2-webpack4-gulp-awilix
03
03年掌纹识别实现
AlgorithmMarkdown
all_js
all js small objects
awesome-few-shot-learning
A curated list of resources about few-shot and one-shot learning
ball
ball
blog2-nodejs-express
my blog2 program with nodejs, express, mongodb
DDH
The implementation of IJCAI-2017 paper "Discriminative Deep Hashing for Face Image Retrieval"
deep-face-hashing
Face hashing using neural networks, mapping images to Hamming codes.
Swimmingswam's Repositories
Swimmingswam/go_learning
something of learning go
Swimmingswam/AlgorithmMarkdown
Swimmingswam/DeepHash-pytorch
Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.
Swimmingswam/LearnMiniProgram
Learn Mini Program
Swimmingswam/HYMall
A vue.js mall application.
Swimmingswam/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Swimmingswam/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
Swimmingswam/palmprint
try palmprint recognition on some methods such as one-shot leraning
Swimmingswam/Python-Data-Mining
《Python数据分析与挖掘实战》源码和学习总结
Swimmingswam/meta-transfer-learning
TensorFlow and PyTorch implementations of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
Swimmingswam/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
Swimmingswam/FewShotPapers
This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.
Swimmingswam/first-try
fitstly
Swimmingswam/PalmNet
Source code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"
Swimmingswam/Palmprint_Recognition
This project is mainly to complete the palmprint feature extraction and classification tasks. The data set contains 99 people's palm print pictures, in which 3 palm print pictures of each person are distributed in the training set, and the other 3 palm print pictures are distributed in the test set. In this project, I tried the traditional method use SIFT to extract features and KNN for classification which get accuracy of 97.31%, and also tried the convolutional neural network method such as ResNet which get accuracy of 83.16%. In addition, I also tried to use the Gaussian filter, Gabor filter, LBP, etc. to process the palmprint image and extract the texture from the palmprint image, but these methods have not improved the accuracy of palmprint recognition.
Swimmingswam/few-shot-meta-baseline
A New Meta-Baseline for Few-Shot Learning
Swimmingswam/MAML-Pytorch
Reproduce MAML in Pytorch with omniglot dataset.
Swimmingswam/inc-few-shot-attractor-public
Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"
Swimmingswam/few-shot-gnn
Swimmingswam/few-shot
Repository for few-shot learning machine learning projects
Swimmingswam/few_shot_learning
classical model code implementation of few-shot/one-shot lenaring, including siamese network, prototypical network, relation network, induction network
Swimmingswam/machine-learning
my machine-learning tutorial
Swimmingswam/03
03年掌纹识别实现
Swimmingswam/Fewshot_Detection
Few-shot Object Detection via Feature Reweighting
Swimmingswam/LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Swimmingswam/Palm_NonLinear
Source Code for IEEE BTAS 2019 paper: Palmprint Recognition Using Realistic Animation Aided Data Augmentation.
Swimmingswam/FewShotWithoutForgetting
Swimmingswam/Face-Recognition-Siamese-Network
Face Recognition and Verification
Swimmingswam/hashing-baseline-for-image-retrieval
:octocat:Various hashing methods for image retrieval and serves as the baselines
Swimmingswam/Prototypical-Networks-for-Few-shot-Learning-PyTorch
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch