Papers with Code 아카이브
Emotion Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/DavidHason/VGG-optiVMD
https://github.com/Deeksha-Pandit/EVA4-S10
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/DeepGraphLearning/graphvite
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
https://github.com/Dekki-Aero/DDPG
https://github.com/DeligientSloth/QQsim
https://github.com/DeligientSloth/bert-tensorflow
https://github.com/Demfier/multimodal-speech-emotion-recognition
Multimodal Speech Emotion Recognition and Ambiguity Resolution
https://github.com/DeokO/bert-excercise-ongoing
https://github.com/Determined22/Rank-Emotion-Cause
https://github.com/DevSinghSachan/multilingual_nmt
https://github.com/DevashishJoshi/Transferring-GANs-FYP
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
https://github.com/DiegoArcelli/De-Stylization-Network
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
https://github.com/DimasDMM/nlp-completer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/DimasDMM/transformers
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Doffery/BERT-Sentiment-Analysis-Amazon-Review
https://github.com/Dohppak/Music-Emotion-Recognition-Classification
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net
https://github.com/Dominik1999/SchafkopfAI
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass
https://github.com/Domminique/Deploy-BERT-for-Sentiment-Analysis-with-FastAPI-
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/Dongcf/Pytorch_Bert_Text_Classification
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/DongjunLee/text-cnn-tensorflow
https://github.com/DonhauserK/DonhauserK.github.io
How rotational invariance of common kernels prevents generalization in high dimensions
https://github.com/DylanCope/Image-Captioning-with-Bimodal-Transformers
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ELKYang/2s-AGCN-paddle
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/EMBEDDIA/PropStar
Propositionalization and Embeddings: Two Sides of the Same Coin
https://github.com/Eeun-ju/NLP-study
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ElenaRyumina/EMO-AffectNetModel
Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition
https://github.com/ElizaLo/Question-Answering-based-on-SQuAD
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/EmilioTyl/transformers_from_scratch
https://github.com/Enigmatisms/Set-Transformer
https://github.com/EssayKillerBrain/NLP-BERT-Chinese
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/EthanWYB/bert-classification
https://github.com/EugenHotaj/pytorch-generative/blob/master/pytorch_generative/models/vae/vq_vae_2.py
https://github.com/EugeneNdiaye/smoothed_concomitant_lasso
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression
https://github.com/EugeneSel/EUMT
https://github.com/EuphoriaYan/bert_component
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.