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cimszw's Projects

analytics_vidhya icon analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

centernet icon centernet

目标检测-华为诺亚-Onestage方法-Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

challenge-condition-fer-dataset icon challenge-condition-fer-dataset

:bulb:有代码有模型-pytorch-多数据源-中科大-注意力机制。This is our collected datasets for challenge condition facial expression recognition

covpoolfer icon covpoolfer

:bulb:有代码有模型-RAFDB最佳结果86%-Tensorflow-py2.7.Covariance Pooling for Facial Expression Recognition

cs231n-affectnet icon cs231n-affectnet

:bulb:有代码无模型-无精度-tflearn. Repository to train models on AffectNet for 231N

emotion_classifier icon emotion_classifier

:bulb:用Tensorflow-FER2013精度70%-有代码无模型.emotion classifier based on kaggle fer2013

emotiw icon emotiw

:bulb:用SVM做-Test accuracy is 60.03% (second place).code for Emotion Recognition in the Wild (EmotiW) challenge

emotiw-2018 icon emotiw-2018

:bulb:有代码无模型-pytorch-组合方法. EmotiW 2018

emotiw-engagement-prediction icon emotiw-engagement-prediction

:bulb:只有部分代码无模型-pytorch-2018冠军。Champion of engagement intensity prediction task in Emotion in the wild Challenge 2018.

emotiw19 icon emotiw19

:bulb:有代码-有论文-复合模型-注意力机制-pytorch.Emotion EmotiW19. Recognition with Spatial Attention and Temporal Softmax Pooling

emotiw2017 icon emotiw2017

:bulb:有代码无模型-LSTM-EmotiW2016冠军文章的一个实现-很好的画混淆矩阵代码- TF.

emotiw2017-1 icon emotiw2017-1

:bulb:有代码无模型-有论文-AMD-2017年第四-Tensorflow.EmotiW 2017 Challenge - AMD team

emotiw2018 icon emotiw2018

:bulb:有代码-复合模型-pytorch.EmotiW2018—NLPR Teams Code (Acc: 60.33%)

face_age_gender icon face_age_gender

:bulb:年龄性别表情都有标注-有数据集-有baseline代码-Keras:Can we predict the age and gender of someone given a picture of their face ?

facial-expression-recognition icon facial-expression-recognition

:bulb:有模型无代码-有数据预处理-Keras-python2.7,My Solution to Facial Emotion Recognization in Kaggle competition

facial-expression-recognition-1 icon facial-expression-recognition-1

:bulb:有代码有模型-FER2013精度65%-Keras. Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

facial-expression-recognition-using-cnn icon facial-expression-recognition-using-cnn

:bulb:有代码无模型-Tensorflow-复合facelandmark+HOG-高精度-FER2013-75% - CNN + Face landmarks + HOG + sliding window. Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

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

:bulb:有代码有模型-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

ferplus icon ferplus

:bulb:有代码无模型-无精度-CNTK. This is the FER+ new label annotations for the Emotion FER dataset.

group-level-emotion-recognition icon group-level-emotion-recognition

:bulb:有代码有说明-EmotiW2018第四-Pytorch-群体情感识别-注意力机制。Model submitted for the ICMI 2018 EmotiW Group-Level Emotion Recognition Challenge

nsfw_data_scraper icon nsfw_data_scraper

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

textshot icon textshot

Python tool for grabbing text via screenshot

textzoom icon textzoom

A super-resolution dataset of paired LR-HR scene text images

thinkstats2 icon thinkstats2

Text and supporting code for Think Stats, 2nd Edition

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