Papers with Code 아카이브

Emotion Recognition

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/yangyucheng000/LiteHRNet

Lite-HRNet: A Lightweight High-Resolution Network

https://github.com/yangyucheng000/RefineNet

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

https://github.com/yangyucheng000/ascend_albert

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

https://github.com/yangyucheng000/bert_Ascend

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

https://github.com/yangyucheng000/bert_GPU

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

https://github.com/yangyucheng000/deepbsde

Solving high-dimensional partial differential equations using deep learning

https://github.com/yangyucheng000/fasttext

Bag of Tricks for Efficient Text Classification

https://github.com/yangyucheng000/textcnn

Convolutional Neural Networks for Sentence Classification

https://github.com/yanqi1811/attention-is-all-you-need

Attention Is All You Need

https://github.com/yanxht/TripAdvisorData

Rare Feature Selection in High Dimensions

https://github.com/yanzhitech/bert

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

https://github.com/yashwanyne/Robust-Video-Colorization-with-Self-Attention-based-Progressive-Generative-Adversarial-Networks

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

https://github.com/yaxingwang/DeepI2I

Large Scale GAN Training for High Fidelity Natural Image Synthesis

https://github.com/yaxingwang/MineGAN

Large Scale GAN Training for High Fidelity Natural Image Synthesis

https://github.com/yeeeqichen/Bert

Attention Is All You Need

https://github.com/yenchenlin/fid

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

https://github.com/yerfor/geneface

GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis

https://github.com/yfjcode/ICNet

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

https://github.com/yfreedomliTHU/mos-pytorch1.1

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

https://github.com/yifding/hetseq

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

https://github.com/yinghao1019/NLP_and_DL_practice

Convolutional Neural Networks for Sentence Classification

https://github.com/yinghao1019/NLP_and_DL_practice/blob/master/Convolution_Neural_Netowrks_for_sentence_classification_Practice.ipynb

Convolutional Neural Networks for Sentence Classification

https://github.com/yingjie7/per_erc

https://github.com/yiyc-kor/bert-study

Attention Is All You Need

https://github.com/yizhiwang96/deepvecfont_homepage

DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning

https://github.com/ykrmm/ICLR_2020

Attention Is All You Need

https://github.com/ykrmm/TREMBA

Attention Is All You Need

https://github.com/ymcui/LAMB_Optimizer_TF

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

https://github.com/yongjincho/cnn-text-classification-pytorch

Convolutional Neural Networks for Sentence Classification

https://github.com/yoongtr/Grammar-Error-Correction-with-OpenNMT-tf

Attention Is All You Need

https://github.com/yoonkim/CNN_sentence

Convolutional Neural Networks for Sentence Classification

https://github.com/yoshitomo-matsubara/torchdistill

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

https://github.com/ypeleg/MinimalIsAllYouNeed

Attention Is All You Need

https://github.com/ypeleg/nfnets-keras

High-Performance Large-Scale Image Recognition Without Normalization

https://github.com/yschoi-nisp/AI-Grand-Challenge-2020

Convolutional Neural Networks for Sentence Classification

https://github.com/yuanlonghao/T3C_tensor_completion

High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format

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