57 Open source projects that are alternatives of or similar to Facial-Expression-Recognition

FERAtt: Facial Expression Recognition with Attention Net

Facial-Expression-Recognition using tensorflow

No description or website provided.

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

An AI Tool to record expressions of users as they watch a video and then visualize the funniest parts of it!

Official PyTorch Implementation of 'Facial Motion Prior Networks for Facial Expression Recognition', VCIP 2019, Oral

Semantically segment the road in the given image.

Deep Learning using Rectified Linear Units (ReLU)

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

Detecting near-duplicate videos by aggregating features from intermediate CNN layers

Pretrained VGG-16 network as feature extractor for Object Recognition (Python, Keras, Scikit-Learn)

Example of Deconvnet in PyTorch for VGG16

An Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.

In this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.

Facial Expression Recognition

The main purpose of the project - recognition of emotions based on facial expressions. Cohn-Kanade data set (http://www.pitt.edu/~emotion/ck-spread.htm) is used for explorations and training

Art to Image Style Transfer using Keras and Tensorflow.

Pytorch implementation of DeepDream on VGG16 Network

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

The VGG16 and VGG19 networks in caffe with jupyter notebook

“Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild”, IEEE T-IP, 2021.

VGG16 architecture with BatchNorm

Code for BMVC paper "Joint Action Unit localisation and intensity estimation through heatmap regression"

A cool emotion detector using your laptop/desktop webcam

Pre-trained VGG-Net Model for image classification using tensorflow

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

Facial Expression Recognition Using CNN and Haar-Cascade

ARM - Official PyTorch Implementation

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Apparel detection using deep learning

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

SFD implement with pytorch

Accelerate Neural Net Training by Progressively Freezing Layers

Deep learning codes and projects using Python

A Single Shot MultiBox Detector in TensorFlow

ResNet-20/32/44/56/110 on CIFAR-10 with Caffe

The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

DSFD implement with pytorch

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Kaggle Data Science Bowl 2018

🙄 Difficult algorithm, Simple code.

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Deep-learning seismic facies on state-of-the-art CNN architectures

VGGNet implemented by tensorflow

Implementation of Neural Image Captioning model using Keras with Theano backend

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

food image to recipe with deep convolutional neural networks.

ImageNet pre-trained models with batch normalization for the Caffe framework

Video Classification using 2 stream CNN

Holistically-Nested Edge Detection

tensorflow implementation of Grad-CAM (CNN visualization)

# This is a image classification by VGG16 pre-trained model.#