87 Open source projects that are alternatives of or similar to Modality-Transferable-MER

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

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

XED multilingual emotion datasets

[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

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

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

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

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

Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems (AAAI-2020)

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

Multimodal sentiment analysis using hierarchical fusion with context modeling

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.

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.

The data structure for unstructured data

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

Implementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.

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

TCyb 2018: Graph learning for multiview clustering

Identifies emotion(s) from user facial expressions

3 networks to recognition age,gender and emotion

Facial Expression Recognition

CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"

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

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

Wav2Vec for speech recognition, classification, and audio classification

A Framework for Textual Entailment based Zero Shot text classification

PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.

Conversational text Analysis using various NLP techniques

Emotion recognition in conversation

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

🎓 📜 This repository holds my final year and dissertation project during my time at the University of Lincoln titled 'Deep Learning for Emotion Recognition in Cartoons'.

FSL-Mate: A collection of resources for few-shot learning (FSL).

LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"

RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR 2021)

API for the GPT-J language model 🦜. Including a FastAPI backend and a streamlit frontend

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

Computer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. The final system can detect the emotion,…

ZSKD with PyTorch

Utils and modules for Speech Language and Multimodal processing using pytorch and pytorch lightning

A framework for Multimodal Intelligence research from Inspur HSSLAB.

Source code for 1st winner of face micro-emotion competition, FG 2017.

LipNet with gluon

Learning low-shot object classification with explicit shape bias learned from point clouds

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

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

No description or website provided.

OpenVINO+NCS2/NCS+MutiModel(FaceDetection, EmotionRecognition)+MultiStick+MultiProcess+MultiThread+USB Camera/PiCamera. RaspberryPi 3 compatible. Async.

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

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

GAKG is a multimodal Geoscience Academic Knowledge Graph (GAKG) framework by fusing papers' illustrations, text, and bibliometric data.

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

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.

The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

Pytorch Implementation of "Adaptive Co-attention Network for Named Entity Recognition in Tweets" (AAAI 2018)

👹 Emotion recognition in Node.js

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