Cover Image

A Depression Detection Method Based on Multi-Modal Feature Fusion Using Cross-Attention

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Shengjie, Xiao, Yinhao
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hallucinated Span Detection with Multi-View Attention Features
by: Ogasa, Yuya, et al.
Published: (2025)

Hallucination Detection in LLMs Using Spectral Features of Attention Maps
by: Binkowski, Jakub, et al.
Published: (2025)

MMSR: Symbolic Regression is a Multi-Modal Information Fusion Task
by: Li, Yanjie, et al.
Published: (2024)

MOGAM: A Multimodal Object-oriented Graph Attention Model for Depression Detection
by: Cha, Junyeop, et al.
Published: (2024)

Dual-Modality Multi-Stage Adversarial Safety Training: Robustifying Multimodal Web Agents Against Cross-Modal Attacks
by: Liu, Haoyu, et al.
Published: (2026)

Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection
by: Jiang, Ye, et al.
Published: (2024)

ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media
by: Agarwal, Aakash Kumar, et al.
Published: (2025)

Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN
by: Chen, Ziyi, et al.
Published: (2023)

Deep Knowledge-Infusion For Explainable Depression Detection
by: Dalal, Sumit, et al.
Published: (2024)

Interpretable AI for Time-Series: Multi-Model Heatmap Fusion with Global Attention and NLP-Generated Explanations
by: Francis, Jiztom Kavalakkatt, et al.
Published: (2025)

StyleMotif: Multi-Modal Motion Stylization using Style-Content Cross Fusion
by: Guo, Ziyu, et al.
Published: (2025)

Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps
by: Waldendorf, Jonas, et al.
Published: (2026)

Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media Content
by: Pangtey, Lata, et al.
Published: (2025)

MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples
by: Chen, Tao, et al.
Published: (2023)

Languages are Modalities: Cross-Lingual Alignment via Encoder Injection
by: Agarwal, Rajan, et al.
Published: (2025)

DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews
by: Burdisso, Sergio, et al.
Published: (2024)

E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection
by: Mousavi, Ahmad, et al.
Published: (2025)

From Detection to Discovery: A Closed-Loop Approach for Simultaneous and Continuous Medical Knowledge Expansion and Depression Detection on Social Media
by: Geng, Shuang, et al.
Published: (2025)

A Fusion of context-aware based BanglaBERT and Two-Layer Stacked LSTM Framework for Multi-Label Cyberbullying Detection
by: Raquib, Mirza, et al.
Published: (2026)

Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
by: Chuang, Yung-Sung, et al.
Published: (2024)

Decoupling Knowledge and Reasoning in Transformers: A Modular Architecture with Generalized Cross-Attention
by: Guo, Zhenyu, et al.
Published: (2025)

TED: Turn Emphasis with Dialogue Feature Attention for Emotion Recognition in Conversation
by: Ono, Junya, et al.
Published: (2025)

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
by: Liu, Chenxi, et al.
Published: (2024)

Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach
by: Jiang, Feihu, et al.
Published: (2024)

DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion
by: Chen, Yilong, et al.
Published: (2024)

Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers
by: Leemann, Tobias, et al.
Published: (2024)

Alzheimer's Dementia Detection Using Perplexity from Paired Large Language Models
by: Xiao, Yao, et al.
Published: (2025)

Untangling Component Imbalance in Hybrid Linear Attention Conversion Methods
by: Benfeghoul, Martin, et al.
Published: (2025)

KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking
by: Zhang, Jiawei, et al.
Published: (2024)

A New Method for Cross-Lingual-based Semantic Role Labeling
by: Ebrahimi, Mohammad, et al.
Published: (2024)

FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion
by: Tang, Anke, et al.
Published: (2024)

Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
by: Qiao, Qiao, et al.
Published: (2023)

LLM Assistance for Pediatric Depression
by: Ignashina, Mariia, et al.
Published: (2025)

Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
by: Lan, Pengxiang, et al.
Published: (2024)

Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning
by: Cai, Hengrui, et al.
Published: (2023)

Multi-Layer Feature Fusion with Cross-Channel Attention-Based U-Net for Kidney Tumor Segmentation
by: Neha, Fnu, et al.
Published: (2024)

A Simple Attention-Based Mechanism for Bimodal Emotion Classification
by: Elabd, Mazen, et al.
Published: (2024)

Don't Shoot The Breeze: Topic Continuity Model Using Nonlinear Naive Bayes With Attention
by: Pi, Shu-Ting, et al.
Published: (2026)

Attention Needs to Focus: A Unified Perspective on Attention Allocation
by: Fu, Zichuan, et al.
Published: (2026)

TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding
by: Xing, Xiaobo, et al.
Published: (2025)