Copertina

Dual-view Spatio-Temporal Feature Fusion with CNN-Transformer Hybrid Network for Chinese Isolated Sign Language Recognition

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jing, Siyuan, Wang, Guangxue, Zhai, Haoyang, Tao, Qin, Yang, Jun, Wang, Bing, Jin, Peng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Spatio-Temporal-Frequency Transformer Framework for Near-Field Target Recognition
di: Zhao, Zongyao, et al.
Pubblicazione: (2026)

Integrated CNN‐LSTM for Photovoltaic Power Prediction based on Spatio‐Temporal Feature Fusion
di: Junwei Ma, et al.
Pubblicazione: (2024)

MSSTNet: A Multi-Scale Spatio-Temporal CNN-Transformer Network for Dynamic Facial Expression Recognition
di: Wang, Linhuang, et al.
Pubblicazione: (2024)

Flexible and Efficient Spatio-Temporal Transformer for Sequential Visual Place Recognition
di: Kiu, Yu, et al.
Pubblicazione: (2025)

A Spatio-Temporal Feature Fusion EEG Virtual Channel Signal Generation Network and Its Application in Anxiety Assessment
di: Yuan, Shangqing, et al.
Pubblicazione: (2025)

STARK: Spatio-Temporal Attention for Representation of Keypoints for Continuous Sign Language Recognition
di: Patra, Suvajit, et al.
Pubblicazione: (2026)

Spatio-Temporal Proximity-Aware Dual-Path Model for Panoramic Activity Recognition
di: Lee, Sumin, et al.
Pubblicazione: (2024)

Exploiting Ensemble Learning for Cross-View Isolated Sign Language Recognition
di: Wang, Fei, et al.
Pubblicazione: (2025)

LGBP-OrgaNet: Learnable Gaussian Band Pass Fusion of CNN and Transformer Features for Robust Organoid Segmentation and Tracking
di: Zhang, Jing, et al.
Pubblicazione: (2025)

ST-ColoNet: Spatio-Temporal Colon Segment Recognition via Hybrid Attention and Edge-Guided Feature Learning
di: Cai, Crystal, et al.
Pubblicazione: (2026)

Open-Vocabulary Spatio-Temporal Action Detection
di: Wu, Tao, et al.
Pubblicazione: (2024)

Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition
di: Wang, Xiao, et al.
Pubblicazione: (2024)

Explainable Transformer-CNN Fusion for Noise-Robust Speech Emotion Recognition
di: Chakrabarty, Sudip, et al.
Pubblicazione: (2025)

Hybrid CNN-Transformer Architecture for Arabic Speech Emotion Recognition
di: Gheffari, Youcef Soufiane, et al.
Pubblicazione: (2026)

Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion
di: Sun, Hongze, et al.
Pubblicazione: (2024)

Micro-DualNet: Dual-Path Spatio-Temporal Network for Micro-Action Recognition
di: Chappa, Naga VS Raviteja, et al.
Pubblicazione: (2026)

CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation
di: Kang, Ming, et al.
Pubblicazione: (2024)

CNN‐Transformer Hybrid Network for Efficient Performance Prediction of Metasurfaces
di: Yutong Liang, et al.
Pubblicazione: (2026)

Spatio-Temporal view on the Topological Functioning Model
di: Spichkova, Maria
Pubblicazione: (2025)

MusicMamba: A Dual-Feature Modeling Approach for Generating Chinese Traditional Music with Modal Precision
di: Chen, Jiatao, et al.
Pubblicazione: (2024)

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition
di: Wang, Xiao, et al.
Pubblicazione: (2023)

Precision Spatio-Temporal Feature Fusion for Robust Remote Sensing Change Detection
di: Wijenayake, Buddhi, et al.
Pubblicazione: (2025)

Connecting the Dots: Leveraging Spatio-Temporal Graph Neural Networks for Accurate Bangla Sign Language Recognition
di: Shahgir, Haz Sameen, et al.
Pubblicazione: (2024)

Training Strategies for Isolated Sign Language Recognition
di: Kvanchiani, Karina, et al.
Pubblicazione: (2024)

Relating CNN-Transformer Fusion Network for Change Detection
di: Gao, Yuhao, et al.
Pubblicazione: (2024)

UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation
di: Wang, Jian, et al.
Pubblicazione: (2024)

CNN Autoencoders for Hierarchical Feature Extraction and Fusion in Multi-sensor Human Activity Recognition
di: Arabzadeh, Saeed, et al.
Pubblicazione: (2025)

A Transformer-Based Multi-Stream Approach for Isolated Iranian Sign Language Recognition
di: Ghadami, Ali, et al.
Pubblicazione: (2024)

Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition
di: Zhao, Ruoyu, et al.
Pubblicazione: (2025)

Dual-Channel Feature Fusion for Joint Prediction in Dynamic Signed Weighted Networks
di: Zhang, Gaoxin, et al.
Pubblicazione: (2026)

Dual‐Branch Cross‐Scale Texture Feature Fusion for Low‐Resolution Face Recognition
di: Jihua Ye, et al.
Pubblicazione: (2025)

MHAFF: Multi-Head Attention Feature Fusion of CNN and Transformer for Cattle Identification
di: Dulal, Rabin, et al.
Pubblicazione: (2025)

Hybrid Cross-Device Localization via Neural Metric Learning and Feature Fusion
di: Lin, Meixia, et al.
Pubblicazione: (2026)

Skin Cancer Classification: Hybrid CNN-Transformer Models with KAN-Based Fusion
di: Agarwal, Shubhi, et al.
Pubblicazione: (2025)

A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems
di: Chen, Siyuan, et al.
Pubblicazione: (2024)

SignBart -- New approach with the skeleton sequence for Isolated Sign language Recognition
di: Nguyen, Tinh, et al.
Pubblicazione: (2025)

WiTUnet: A U-Shaped Architecture Integrating CNN and Transformer for Improved Feature Alignment and Local Information Fusion
di: Wang, Bin, et al.
Pubblicazione: (2024)

CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN Networks
di: Sajib, Rakib Hossain, et al.
Pubblicazione: (2026)

MFH‐Net: A Hybrid CNN‐Transformer Network Based Multi‐Scale Fusion for Medical Image Segmentation
di: Ying Wang, et al.
Pubblicazione: (2024)

MVAFormer: RGB-based Multi-View Spatio-Temporal Action Recognition with Transformer
di: Yamane, Taiga, et al.
Pubblicazione: (2025)