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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/DenisRang/Combined-CNN-RNN-for-emotion-recognition

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Emotion Recognition on large video dataset based on Convolutional Feature Extractor and Recurrent Neural Network

https://github.com/Denys88/rl_games

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Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

https://github.com/Dianezzy/ParaLip

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Parallel and High-Fidelity Text-to-Lip Generation

https://github.com/DigitalPhonetics/adviser

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ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents

https://github.com/Ding-Liu/DeepDenoising

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Connecting Image Denoising and High-Level Vision Tasks via Deep Learning

https://github.com/DmitryUlyanov/AGE

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It Takes (Only) Two: Adversarial Generator-Encoder Networks

https://github.com/Dreamyao516/DialogueLLM

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DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversations

https://github.com/Duankaiwen/CPNDet

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Corner Proposal Network for Anchor-free, Two-stage Object Detection

https://github.com/DudleyLab/widefield2confocal

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Enhancing high-content imaging for studying microtubule networks at large-scale

https://github.com/EIHW/EmoNet

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EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition

https://github.com/EMOsuperb/EMO-SUPERB-submission

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EMO-SUPERB: An In-depth Look at Speech Emotion Recognition

https://github.com/EducationalTestingService/CATS

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Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation

https://github.com/FACEGOOD/FACEGOOD-Audio2Face

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High-Quality Real Time Facial Capture Based on Single Camera

https://github.com/FDChongli/TwoWaysToImproveCSC

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Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models

https://github.com/FangyunWei/SLRT

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Two-Stream Network for Sign Language Recognition and Translation

https://github.com/FederatedSTAR/FedSTAR

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Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning

https://github.com/FrankD/fuser

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High-dimensional regression over disease subgroups

https://github.com/FunAudioLLM/SenseVoice

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FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs

https://github.com/GGiecold/ECLAIR

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Robust Lineage Reconstruction from High-Dimensional Single-Cell Data

https://github.com/GabrieleLagani/SpikingGrid

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Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation

https://github.com/Ghadjeres/VarNet

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Variation Network: Learning High-level Attributes for Controlled Input Manipulation

https://github.com/GiannisPikoulis/FG2021-BoLD

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Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild

https://github.com/Gordon-Guojun-Zhang/UAI-2019

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Comparing EM with GD in Mixture Models of Two Components

https://github.com/HIIT/knowledge-elicitation-for-linear-regression

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Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction

https://github.com/HKUST-NISL/GEDDnet

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Towards High Performance Low Complexity Calibration in Appearance Based Gaze Estimation

https://github.com/HLTCHKUST/covid19-misinfo-data

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Misinformation Has High Perplexity

https://github.com/HLTSingapore/Emotional-Speech-Data

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Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset

https://github.com/HPAI-BSC/MetH-baselines

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MetH: A family of high-resolution and variable-shape image challenges

https://github.com/HRNet/HRFormer

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HRFormer: High-Resolution Transformer for Dense Prediction

https://github.com/HRNet/Lite-HRNet

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Lite-HRNet: A Lightweight High-Resolution Network

https://github.com/HSE-asavchenko/face-emotion-recognition

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Facial expression and attributes recognition based on multi-task learning of lightweight neural networks

https://github.com/HaohanWang/HFC

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High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

https://github.com/HarlinLee/brillsson

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Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices

https://github.com/HarmoniaLeo/FRLW-EvD

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Motion Robust High-Speed Light-Weighted Object Detection With Event Camera

https://github.com/Huizerd/gym-quad

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Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs

https://github.com/HuongHa12/HighdimLSE

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High Dimensional Level Set Estimation with Bayesian Neural Network

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