SOTAVerified

Emotion Recognition

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

Papers

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Showing 251–300 of 2041 papers

TitleStatusHype
GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion RecognitionCode1
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning SettingsCode1
Global-Local Attention for Emotion RecognitionCode1
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion RecognitionCode1
HTNet for micro-expression recognitionCode1
How you feelin'? Learning Emotions and Mental States in Movie ScenesCode1
Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological SignalsCode1
In Search of a Robust Facial Expressions Recognition Model: A Large-Scale Visual Cross-Corpus StudyCode1
Hierarchical Dialogue Understanding with Special Tokens and Turn-level AttentionCode1
Group Gated Fusion on Attention-based Bidirectional Alignment for Multimodal Emotion RecognitionCode1
HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion RecognitionCode1
HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion RecognitionCode1
Cluster-Level Contrastive Learning for Emotion Recognition in ConversationsCode1
How Deep Neural Networks Can Improve Emotion Recognition on Video DataCode1
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion RecognitionCode1
CAGE: Circumplex Affect Guided Expression InferenceCode1
IdentiFace : A VGG Based Multimodal Facial Biometric SystemCode1
CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion RecognitionCode1
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive FusionCode1
ChatGPT: Jack of all trades, master of noneCode1
Compact Graph Architecture for Speech Emotion RecognitionCode1
Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-AttentionCode1
Codified audio language modeling learns useful representations for music information retrievalCode1
COGMEN: COntextualized GNN based Multimodal Emotion recognitioNCode1
In the Blink of an Eye: Event-based Emotion RecognitionCode1
Is Cross-Attention Preferable to Self-Attention for Multi-Modal Emotion Recognition?Code1
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationCode1
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG SignalsCode1
CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion RecognitionCode1
BHAAV- A Text Corpus for Emotion Analysis from Hindi StoriesCode1
Large Raw Emotional Dataset with Aggregation MechanismCode1
Context De-confounded Emotion RecognitionCode1
Contextual Information and Commonsense Based Prompt for Emotion Recognition in ConversationCode1
Contrast and Generation Make BART a Good Dialogue Emotion RecognizerCode1
Continuous Emotion Recognition using Visual-audio-linguistic information: A Technical Report for ABAW3Code1
A vector quantized masked autoencoder for speech emotion recognitionCode1
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion RecognitionCode1
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC TasksCode1
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in TextsCode1
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
Cross Attentional Audio-Visual Fusion for Dimensional Emotion RecognitionCode1
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognitionCode1
Cross-Lingual Cross-Age Group Adaptation for Low-Resource Elderly Speech Emotion RecognitionCode1
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion UnderstandingCode1
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression DetectionCode1
Decoupled Multimodal Distilling for Emotion RecognitionCode1
InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language ModelsCode1
MDPE: A Multimodal Deception Dataset with Personality and Emotional CharacteristicsCode1
Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the WildCode1
MuCDN: Mutual Conversational Detachment Network for Emotion Recognition in Multi-Party ConversationsCode1
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All datasetsEmomusicRAVDESSEMOTICFER2013MaSaC_ERCMPEDMSP-PodcastSEEDคลิปคุณพ่อให้ลูกสาวยืมโทรศัพท์และความสนุกสนาน

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1M2D-CLAPEmoA77.4—Unverified
2M2D2EmoA76.7—Unverified
3M2DEmoA76.1—Unverified
4Jukebox (Pre-training: CALM)EmoA72.1—Unverified
5CLMR (Pre-training: contrastive)EmoA67.8—Unverified
#ModelMetricClaimedVerifiedStatus
1LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+AttentionAccuracy86.7—Unverified
2MultiMAE-DERWAR83.61—Unverified
3Intermediate-Attention-FusionAccuracy81.58—Unverified
4Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedSTAccuracy80.08—Unverified
5ERANN-0-4Accuracy74.8—Unverified
#ModelMetricClaimedVerifiedStatus
1CAGETop-3 Accuracy (%)14.73—Unverified
2FocusCLIPTop-3 Accuracy (%)13.73—Unverified
#ModelMetricClaimedVerifiedStatus
1VGG based5-class test accuracy66.13—Unverified
#ModelMetricClaimedVerifiedStatus
1MaSaC-ERC-ZF1-score (Weighted)51.17—Unverified
#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy40.34—Unverified
#ModelMetricClaimedVerifiedStatus
1w2v2-L-robust-12Concordance correlation coefficient (CCC)0.64—Unverified
#ModelMetricClaimedVerifiedStatus
14D-aNNAccuracy96.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN1'"1—Unverified