324 Open source projects that are alternatives of or similar to EmotionChallenge

Facial Expression Recognition

Multiple ColorChecker Detection. This code implements a multiple colorChecker detection method, as described in the paper Fast and Robust Multiple ColorChecker Detection.

[ICASSP19] An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken Dialogs

Caffe Wide-Residual-Network (WRN) Generator

No description or website provided.

Conversational text Analysis using various NLP techniques

This project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

Modified RefineDet

[Preprint] "Improved Techniques for Learning to Dehaze and Beyond: A Collective Study"

Training Low-bits DNNs with Stochastic Quantization

XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe

yolov5 onnx caffe

My tests and experiments on Caffe, the deep learning framework by Berkeley Vision and Learning Center (BVLC) and its contributors.

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

deep-learning platforms,framework,data（深度学习平台、框架、资料）

GUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.

CLUE Emotion Analysis Dataset 细粒度情感分析数据集

A small tool to dump Caffe's *.caffemodel to JSON for inspection

caffe based mobilenet v2 deploy

No description or website provided.

Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)

Xception implemented with caffe

An emotion classifier of text containing technical content from the SE domain

No description or website provided.

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

Transfer learning in Caffe: example on how to train CaffeNet on custom dataset

The U-Net Segmentation server (caffe_unet) for Docker

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.

Identifies emotion(s) from user facial expressions

Full package for applying deep learning to virtual slides.

The code for preparing the training data for crowd counting / segmentation algorithm.

No description or website provided.

No description or website provided.

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

pytorch to caffe by onnx

Wav2Vec for speech recognition, classification, and audio classification

crnn.caffe

install script and example for clCaffe which will run caffe by OpenCL (this is for https://github.com/01org/caffe/tree/inference-optimize)

A Deep Learning Framework customized for Sunway TaihuLight

PyTorch code for "M³T: Multi-Modal Multi-Task Learning for Continuous Valence-Arousal Estimation"

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

Implement popular models by different DL framework. Such as tensorflow and caffe

Public scenarios to crowdsource experiments (such as DNN crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework across diverse mobile devices provided by volunteers. Results are continuously aggregated at the open repository of knowledge:

Multimodal sentiment analysis using hierarchical fusion with context modeling

Multi-layer Recurrent Neural Networks (with LSTM) for character-level language models in Caffe

Caffe/C++ implementation of Boundary Equilibrium Generative Adversarial Networks paper for face generation

arcface and retinaface model convert mxnet to onnx.

Proof-of-concept of emotion-targeted content delivery using machine learning and ARKit.

Caffe implementation for "Guided Optical Flow Learning"

Implementation of the paper "Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network" in AAAI-2020.

2 networks to recognition gender and emotion; face detection using Opencv or Mtcnn

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

An open-source food image embedding model

3 networks to recognition age,gender and emotion

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Surveillance System Against Violence

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

No description or website provided.