Dynamic Attention Vision-Language Transformer Network for Person Re-Identification

Information Science, Electronic Information, Computer Science, Automation, Artificial Intelligence,
dynamic attention   vision-language   person re-identification   feature integration   deep learning   multimodal   domain adaptation  

Dynamic Attention Vision-Language Transformer Network for Person Re-Identification Research Report In recent years, multimodal person re-identification (ReID) has gained increasing attention in the field of computer vision. Person ReID aims to identify specific individuals across different camera views, serving as a critical technology in security ...

Rethinking Contemporary Deep Learning Techniques for Error Correction in Biometric Data

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence, Life Sciences, Bioengineering,
biometrics   secure sketch   error correction   maximum likelihood decoding   deep learning  

Rethinking Deep Learning Techniques for Error Correction in Biometric Data Background With the rapid development of information technology, biometric data has become increasingly important in identity verification and secure storage. Traditional cryptography relies on uniformly distributed and precisely reproducible random strings. However, most re...

A RAFT-based Network and Synthetic Dataset for Digital Video Stabilization

Information Science, Artificial Intelligence,
RAFT   video stabilization   synthetic dataset   deep learning   optical flow prediction  

Report on the Study of Deep Learning-Based Video Stabilization Methods and the SynthStab Synthetic Dataset Background Introduction Digital video stabilization technology, which removes unnecessary vibrations and camera motion artifacts through software, is a critical component in modern video processing, particularly for amateur video shooting. How...

MVTN: Learning Multi-View Transformations for 3D Understanding

MVTN: Learning Multi-View Transformations for 3D Understanding

Information Science, Artificial Intelligence,
multi-view   3D shape recognition   deep learning   3D point clouds   segmentation   rendering   model optimization  

Multi-View Transformation Network (MVTN): New Advances in 3D Understanding Research Background and Motivation Recent advancements in deep learning for 3D data in computer vision have achieved significant success, particularly in tasks like classification, segmentation, and retrieval. However, effectively utilizing 3D shape information remains a cha...

Integration of Multi-Omics Data Reveals the Role of Efferocytosis in Lung Adenocarcinoma Prognosis and Immunotherapy

Medicine, Basic Medical Sciences, Oncology, Life Sciences, Cell Biology, Biochemistry, Immunology,
lung adenocarcinoma   efferocytosis   single-cell RNA-seq   prognosis   immunotherapy   precision medicine   deep learning  

Research Report on Efferocytosis Features and Their Prognostic and Immunotherapy Associations in Lung Adenocarcinoma Background and Research Motivation Lung cancer is a leading cause of cancer-related mortality worldwide, with lung adenocarcinoma (LUAD) being the most common histological subtype. Due to the insidious nature of the disease and lack ...