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/Nilanshrajput/Intent_classification

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

https://github.com/Nim-NLP/fastText

Bag of Tricks for Efficient Text Classification

https://github.com/Nimesh-Patel/BERT

Attention Is All You Need

https://github.com/Nirvanabc/sentence_classification

Convolutional Neural Networks for Sentence Classification

https://github.com/Noopuragr/DepthModel

High Quality Monocular Depth Estimation via Transfer Learning

https://github.com/Nstats/bert_MRC

Attention Is All You Need

https://github.com/Nstats/bert_senti_analysis_ch

Attention Is All You Need

https://github.com/Nstats/my_bert

Attention Is All You Need

https://github.com/OPAYA/Transformer

Attention Is All You Need

https://github.com/Oichii/DeepPulse-pytorch

Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks

https://github.com/Olksndr/FaceShifter

FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

https://github.com/Omerktn/fastText-iterative

Bag of Tricks for Efficient Text Classification

https://github.com/Osobarako/alduswarrensewell

Attention Is All You Need

https://github.com/OsvaldN/APS360_Project

Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation

https://github.com/OweysMomenzada/Evergreen-Content-Classifier-for-german-Text

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

https://github.com/PDas2206/BERT_emotion_analysis

EmotionX-KU: BERT-Max based Contextual Emotion Classifier

https://github.com/PJamesY/category_classification-NLP-

Convolutional Neural Networks for Sentence Classification

https://github.com/PacktPublishing/Hands-On-Image-Generation-with-TensorFlow-2.0/tree/master/Chapter08

Large Scale GAN Training for High Fidelity Natural Image Synthesis

https://github.com/PaddlePaddle/PaddleClas

Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond

https://github.com/PaddlePaddle/PaddleDetection

Cascade R-CNN: Delving into High Quality Object Detection

https://github.com/PaddlePaddle/PaddleNLP

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

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/machine_translation/transformer

Attention Is All You Need

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/sentiment_analysis/textcnn

Convolutional Neural Networks for Sentence Classification

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/PaddlePaddle/PaddleRec/tree/release/2.1.0/models/contentunderstanding/textcnn

Convolutional Neural Networks for Sentence Classification

https://github.com/PaddlePaddle/PaddleSpeech

Attention Is All You Need

https://github.com/Paulpauladq/HighSpeedFaceTracker

High-Speed Tracking with Kernelized Correlation Filters

https://github.com/Pechckin/MountainCar

Continuous control with deep reinforcement learning

https://github.com/PeterJochem/Deep_RL

Continuous control with deep reinforcement learning

https://github.com/PeterJochem/Double_Deep_QLearning

Continuous control with deep reinforcement learning

https://github.com/PeymanTahghighi/DeformConvLSTM

Deformable Convolutional LSTM for Human Body Emotion Recognition

https://github.com/Pezhin/best_yelp_review_project_ever

Attention Is All You Need

https://github.com/PhilippBach/hdm

High-Dimensional Metrics in R

https://github.com/PhilippBach/hdm_prev

High-Dimensional Metrics in R

https://github.com/PhilippeNguyen/keras_wavenet

Parallel WaveNet: Fast High-Fidelity Speech Synthesis

https://github.com/Philori22/DDPG-aigym

Continuous control with deep reinforcement learning

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