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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/emopodntua/medusa

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MEDUSA: A Multimodal Deep Fusion Multi-Stage Training Framework for Speech Emotion Recognition in Naturalistic Conditions

https://github.com/emotion-analysis-project/semeval2025-task11

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BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages

https://github.com/emotionlab/eegain

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Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework

https://github.com/entitize/fakeddit

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r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

https://github.com/envision-research/gpt4affectivity

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GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing

https://github.com/eric-vader/HD-BO-Additive-Models

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High-Dimensional Bayesian Optimization via Tree-Structured Additive Models

https://github.com/ericguizzo/anti_transfer

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Anti-Transfer Learning for Task Invariance in Convolutional Neural Networks for Speech Processing

https://github.com/ericguizzo/multi_time_scale

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Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals

https://github.com/ericl122333/latent-vae

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High Fidelity Image Synthesis With Deep VAEs In Latent Space

https://github.com/ericl122333/latent-vae-jax

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High Fidelity Image Synthesis With Deep VAEs In Latent Space

https://github.com/ericotjo001/explainable_ai

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Two Instances of Interpretable Neural Network for Universal Approximations

https://github.com/erictuanle/cpfn

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CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds

https://github.com/ermine516/dilp2

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Differentiable Inductive Logic Programming in High-Dimensional Space

https://github.com/esdalmaijer/artificial_navigators

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Cumulative culture spontaneously emerges in artificial navigators who are social and memory-guided

https://github.com/esiivola/hdssbo

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Good practices for Bayesian Optimization of high dimensional structured spaces

https://github.com/estherjulien/kadaptns

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Machine Learning for K-adaptability in Two-stage Robust Optimization

https://github.com/eszter-kiss/largevars

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Asymptotics of Cointegration Tests for High-Dimensional VAR($k$)

https://github.com/ethz-asl/Hough2Map

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Hough2Map -- Iterative Event-based Hough Transform for High-Speed Railway Mapping

https://github.com/etorarza/rvcompare

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Comparing Two Samples Through Stochastic Dominance: A Graphical Approach

https://github.com/etzinis/nldrp

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Integrating Recurrence Dynamics for Speech Emotion Recognition

https://github.com/etzinis/two_step_mask_learning

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Two-Step Sound Source Separation: Training on Learned Latent Targets

https://github.com/exploration-lab/cogmen

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COGMEN: COntextualized GNN based Multimodal Emotion recognitioN

https://github.com/exploration-lab/comumdr

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CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations

https://github.com/exploration-lab/shapes-of-emotion

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Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts

https://github.com/eyalrozenberg1/spdcinv

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SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits

https://github.com/f-frida/glsgn

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Global-Local Stepwise Generative Network for Ultra High-Resolution Image Restoration

https://github.com/facebookresearch/ContextualBO

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Bayesian Optimization with High-Dimensional Outputs

https://github.com/facebookresearch/HRViT

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Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

https://github.com/facebookresearch/LASER

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CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB

https://github.com/facebookresearch/alebo

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Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

https://github.com/facebookresearch/cc_net

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CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

https://github.com/facebookresearch/encodec

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High Fidelity Neural Audio Compression

https://github.com/facebookresearch/fairseq

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UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units

https://github.com/facebookresearch/fastText

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Bag of Tricks for Efficient Text Classification

https://github.com/facebookresearch/hyperreel

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HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling

https://github.com/facebookresearch/rcdm

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High Fidelity Visualization of What Your Self-Supervised Representation Knows About

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