Papers with Code 아카이브

Emotion Recognition

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하위 태스크: 12
평가표: 10
보존된 평가 기록: 18

Emotion Recognition is an important area of research to enable effective human-computer interaction. Human emotions can be detected using speech signal, facial expressions, body language, and electroencephalography (EEG). Source: Using Deep Autoencoders for Facial Expression Recognition

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/CFWP/rags2ridges

The Spectral Condition Number Plot for Regularization Parameter Determination

https://github.com/CGCL-codes/naturalcc

Attention Is All You Need

https://github.com/CODEJIN/HiFiSinger

HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis

https://github.com/COMP6248-Reproducability-Challenge/selfsupervised-denoising

High-Quality Self-Supervised Deep Image Denoising

https://github.com/CSAILVision/semantic-segmentation-pytorch

High-Resolution Representations for Labeling Pixels and Regions

https://github.com/CVxTz/face_age_gender

DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network

https://github.com/CVxTz/music_genre_classification

Attention Is All You Need

https://github.com/CaedenZ/distractionModel

Student Engagement Detection Using Emotion Analysis, Eye Tracking and Head Movement with Machine Learning

https://github.com/Caesarzhang/bert-zh

Attention Is All You Need

https://github.com/Calylyli/Mindsporehrnet

Deep High-Resolution Representation Learning for Visual Recognition

https://github.com/Chang-Chia-Chi/SaintPlus-Knowledge-Tracing-Pytorch

Attention Is All You Need

https://github.com/CharlieDinh/DONE

DONE: Distributed Approximate Newton-type Method for Federated Edge Learning

https://github.com/Charliesgithub20221030/BERT

Attention Is All You Need

https://github.com/ChiCheng123/SRN

Selective Refinement Network for High Performance Face Detection

https://github.com/Chinnu1103/Machine-Translation-using-Transformers

Attention Is All You Need

https://github.com/Choddeok/EmoSpherepp

EmoSphere-SER: Enhancing Speech Emotion Recognition Through Spherical Representation with Auxiliary Classification

https://github.com/Chonwai/Learning_BERT

Attention Is All You Need

https://github.com/ChristinaRunkel/HighSpeedImaging

A Bit Too Much? High Speed Imaging from Sparse Photon Counts

https://github.com/ChunpingQiu/benchmark-on-So2SatLCZ42-dataset-a-simple-tour

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

https://github.com/Coda-s/BJTU_NLP_Practice

Convolutional Neural Networks for Sentence Classification

https://github.com/Colanim/BERT_STS-B

Attention Is All You Need

https://github.com/Crevass/Hybrid-Agent

Continuous control with deep reinforcement learning

https://github.com/Cris-Nguyen/Speech-Emotion-Recognition

Multimodal Speech Emotion Recognition and Ambiguity Resolution

https://github.com/CrisalixSA/h3ds

H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction

https://github.com/CyberZHG/keras-bert

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/DAve-QN/source

Communication Efficient Distributed Optimization using an Approximate Newton-type Method

https://github.com/DBraun/DAC-JAX

High Fidelity Neural Audio Compression

https://github.com/DJJune/Transformer

Attention Is All You Need

https://github.com/DLR-RM/stable-baselines3

High-Dimensional Continuous Control Using Generalized Advantage Estimation

https://github.com/DM2-ND/InjType

Injecting Entity Types into Entity-Guided Text Generation

https://github.com/DW-yejing/fasttext4j-jdk6

Bag of Tricks for Efficient Text Classification

https://github.com/DanielLSM/safe-rl-tutorial

Continuous control with deep reinforcement learning

https://github.com/DanieleVeri/deep_comedy

Attention Is All You Need

https://github.com/DataScienceNigeria/Supervised-NLP-from-Facebook-AI-Team

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

https://github.com/DataZwer/BaseTensorFlowModel

Convolutional Neural Networks for Sentence Classification

https://github.com/DataZwer/CNNTextClassification

Convolutional Neural Networks for Sentence Classification

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.