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Wilbur's Projects

caffe_gan icon caffe_gan

This project uses GAN to implement gray image colorization

capsnet-keras icon capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.

capsnet-tensorflow-1 icon capsnet-tensorflow-1

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

cascade-rcnn icon cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

changeformer icon changeformer

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

cnn icon cnn

Training a convolutional neural network using own picture dataset

darknetfaceid icon darknetfaceid

A YOLO darknet implementation of facial recognition from automatic annotation of facial images.

densenet-caffe icon densenet-caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

face_classification icon face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

faceenhance icon faceenhance

本科毕业设计-基于深度学习的模糊人脸图像增强系统的设计与实现

faceid icon faceid

Caffe Implementation of our ICIP 2017 paper OCCLUSION ROBUST FACE RECOGNITION BASED ON MASK LEARNING

facial-expression-recognition.pytorch icon facial-expression-recognition.pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

facifier icon facifier

An emotion and gender detector based on facial features, built with Python and OpenCV

fatauva-net-for-facial-emotion-with-caffe icon fatauva-net-for-facial-emotion-with-caffe

This is an implementation of FATAUVA-Net model in paper: An Integrated Deep Learning Framework for Facial Attribute Recognition, Action Unit Detection and Valence-Arousal Estimation

image_sdr_to_hdr icon image_sdr_to_hdr

图像SDR to HDR,目标:暗光区域 光照增强,过曝光区域 光照减弱

itsne icon itsne

Interactive visualization of data using t-SNE

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