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/milenagazdieva/extremalneuraloptimaltransport
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
https://github.com/milmor/LDT
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
https://github.com/milmor/LadaGAN-pytorch
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
https://github.com/milmor/diffusion-transformer
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
https://github.com/milmor/diffusion-transformer-keras
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
https://github.com/milmor/ladagan
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
https://github.com/milmor/latent-diffusion-transformer
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
https://github.com/mim-solutions/bert_for_longer_texts
https://github.com/mim-solutions/roberta_for_longer_texts
https://github.com/mindslab-ai/faceshifter
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
https://github.com/mindslab-ai/hififace
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
https://github.com/mindspore-ai/contrib/tree/master/intern/RGNN
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
https://github.com/mindspore-ai/models/blob/master/research/cv/ibnnet
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
https://github.com/mindspore-ai/models/blob/master/research/nlp/textrcnn
https://github.com/mindspore-ai/models/tree/master/official/nlp/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/mindspore-ai/models/tree/master/official/nlp/bert_thor
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/mindspore-ai/models/tree/master/official/nlp/fasttext
https://github.com/mindspore-ai/models/tree/master/official/nlp/textcnn
https://github.com/mindspore-ai/models/tree/master/official/nlp/transformer
https://github.com/mindspore-ai/models/tree/master/research/cv/HRNetW48_cls
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/mindspore-ai/models/tree/master/research/cv/ICNet
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
https://github.com/mindspore-ai/models/tree/master/research/cv/NFNet
High-Performance Large-Scale Image Recognition Without Normalization
https://github.com/mindspore-ai/models/tree/master/research/cv/RefineNet
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
https://github.com/mindspore-ai/models/tree/master/research/hpc/deepbsde
Solving high-dimensional partial differential equations using deep learning
https://github.com/mindspore-courses/ABSA-MindSpore
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/mindspore-courses/Deep-Reinforcement-Learning-Algorithms-with-MindSpore
https://github.com/mindspore-courses/Deep-Tutorials-for-MindSpore
https://github.com/mindspore-courses/DeepNLP-models-MindSpore
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/attention/PolarizedSelfAttention.py
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/attention/SelfAttention.py
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/attention/UFOAttention.py
UFO-ViT: High Performance Linear Vision Transformer without Softmax
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/conv/HorNet.py
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
https://github.com/mindspore-lab/mindnlp/blob/master/mindnlp/models/bert/bert.py
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/mindspore-lab/mindone
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/ming024/FastSpeech2
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.