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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/samsad35/code-mdvae

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A multimodal dynamical variational autoencoder for audiovisual speech representation learning

https://github.com/sanghunhan92/2k2k

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High-fidelity 3D Human Digitization from Single 2K Resolution Images

https://github.com/sanmusunrise/CSR

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Cost-sensitive Regularization for Label Confusion-aware Event Detection

https://github.com/sanweiliti/noisyFER

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Facial Emotion Recognition with Noisy Multi-task Annotations

https://github.com/saqibns/cv-aal-2018

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Group Affect Prediction Using Multimodal Distributions

https://github.com/sashankmvv/Emotion-recognition

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Facial Emotion Recognition: A multi-task approach using deep learning

https://github.com/satvik-dixit/explainability_ser

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Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic Features

https://github.com/sauloal/introgressionbrowser

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Introgression Browser: High throughput whole-genome SNP visualization

https://github.com/scnu-rislab/cnn-transforemr-and-multidimensional-attention-mechanism

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Speech Emotion Recognition Via CNN-Transformer and Multidimensional Attention Mechanism

https://github.com/sco-field/speechemotionrecognition

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Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support Hotlines

https://github.com/scofield7419/XSRL-ACL

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Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus

https://github.com/scutcsq/dwformer

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DWFormer: Dynamic Window transFormer for Speech Emotion Recognition

https://github.com/scutcyr/CPED

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CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI

https://github.com/senna1128/Varying-Index-Coefficient-Models

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High-dimensional Varying Index Coefficient Models via Stein's Identity

https://github.com/sergiomrebelo/evo-poster

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Evaluation Metrics for Automated Typographic Poster Generation

https://github.com/sergulaydore/Feature-Grouping-Regularizer

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Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data

https://github.com/sfzhang15/FaceBoxes

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FaceBoxes: A CPU Real-time Face Detector with High Accuracy

https://github.com/sgttwld/two-kinds-of-free-energy--notebooks

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The Two Kinds of Free Energy and the Bayesian Revolution

https://github.com/sgunderscore/hatescore-korean-hate-speech

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Korean Online Hate Speech Dataset for Multilabel Classification: How Can Social Science Improve Dataset on Hate Speech?

https://github.com/shadow2496/VITON-HD

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VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization

https://github.com/shamanez/BERT-like-is-All-You-Need

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Jointly Fine-Tuning "BERT-like" Self Supervised Models to Improve Multimodal Speech Emotion Recognition

https://github.com/shangtai/githubcascadedmodel

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Sparse Density Trees and Lists: An Interpretable Alternative to High-Dimensional Histograms

https://github.com/shanzhenren/PLE

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Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding

https://github.com/shaokai1209/fdan

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Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation Network

https://github.com/shaoncsecu/BanglaEmotion

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Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion Analysis

https://github.com/sharif-apu/twostageHDR_NTIRE21

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A Two-stage Deep Network for High Dynamic Range Image Reconstruction

https://github.com/shawLyu/HR-Depth

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HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation

https://github.com/shawnkx/SCDE

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SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations

https://github.com/shawx825/hidialog

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Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention

https://github.com/shenwzh3/DAG-ERC

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Directed Acyclic Graph Network for Conversational Emotion Recognition

https://github.com/shenwzh3/DialogXL

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DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition

https://github.com/shiluo1990/bdc

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Bounding-box deep calibration for high performance face detection

https://github.com/shimaokasonse/NFGEC

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Neural Architectures for Fine-grained Entity Type Classification

https://github.com/shl5133/E2EECPE

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End-to-end Emotion-Cause Pair Extraction via Learning to Link

https://github.com/showlab/headshot

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Novel View Synthesis for High-fidelity Headshot Scenes

https://github.com/shravan-18/AVTCA

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Multimodal Emotion Recognition using Audio-Video Transformer Fusion with Cross Attention

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