Výsledky vyhledávání - Transformer-based factorized encoder

Transformer-based factorized encoder for classification of pneumoconiosis on 3D CT images

Autoři: Yingying Huang Yang Si Bingliang Hu a další

Zdroj: Computers in Biology and Medicine. 150:106137

Témata: 03 medical and health sciences, 0302 clinical medicine, Humans, Pneumoconiosis, Thorax, Tomography, X-Ray Computed, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36191395

DMFC-UFormer: Depthwise multi-scale factorized convolution transformer-based UNet for medical image segmentation.

Autoři: Garbaz, Anass Oukdach, Yassine Charfi, Said a další

Zdroj: Biomedical Signal Processing & Control. Mar2025, Vol. 101, pN.PAG-N.PAG. 1p.

Témata: Image segmentation, Capsule endoscopy, Convolutional neural networks, Feature extraction, Diagnostic imaging

Advances in Transformer-Based Semantic Search: Techniques, Benchmarks, and Future Directions.

Autoři: Kamil, Mohammad Cakir, Duygu

Zdroj: Turkish Journal of Mathematics & Computer Science; 2025, Vol. 17 Issue 1, p145-166, 22p

Témata: NATURAL language processing, INFORMATION retrieval, ARCHITECTURAL details, TRANSFORMER models

FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features

Autoři: Rochow, Andre Schwarz, Max Behnke, Sven

Témata: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2404.09736

From words to visuals: a transformer-based multi-modal framework for emotion-driven tourism analytics.

Autoři: Calderón-Fajardo, Víctor Rodríguez-Rodríguez, Ignacio Puig-Cabrera, Miguel

Zdroj: Information Technology & Tourism; Dec2025, Vol. 27 Issue 4, p939-979, 41p

Témata: EMOTION recognition, TOURISM research, IMAGE representation, EXPRESSIVE language, FEATURE extraction, MULTIMODAL user interfaces

Siamese comparative transformer-based network for unsupervised landmark detection.

Autoři: Zhao, Can Wu, Tao Zhang, Jianlin a další

Zdroj: PLoS ONE; 12/31/2024, Vol. 19 Issue 12, p1-16, 16p

Témata: DETECTION algorithms, COMPUTER vision, TRANSFORMER models, IMAGE reconstruction, ENCODING

A multimodal transformer-based visual question answering method integrating local and global information.

Autoři: Huang, Cuiyang Hu, Zihan

Zdroj: PLoS ONE; 7/2/2025, Vol. 20 Issue 7, p1-22, 22p

Témata: NOISE, DESIGN

Exploring topic modelling: a comparative analysis of traditional and transformer-based approaches with emphasis on coherence and diversity.

Autoři: Riaz, Ayesha Abdulkader, Omar Ikram, Muhammad Jawad a další

Zdroj: International Journal of Electrical & Computer Engineering (2088-8708); Apr2025, Vol. 15 Issue 2, p1933-1948, 16p

Témata: LANGUAGE models, GENERATIVE pre-trained transformers, SOCIAL media, TRANSFORMER models, DATA mining

Joint-Dataset Learning and Cross-Consistent Regularization for Text-to-Motion Retrieval.

Autoři: Messina, Nicola Sedmidubsky, Jan Falchi, Fabrizio a další

Zdroj: ACM Transactions on Multimedia Computing, Communications & Applications; Oct2025, Vol. 21 Issue 10, p1-24, 24p

Témata: SPATIOTEMPORAL processes, TRANSFORMER models, NATURAL languages, DATABASE searching, SKELETON

Transformer-based video generation technique for biomechanical motion analysis.

Autoři: Jia, Yuxuan

Zdroj: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 4, p1-18, 18p

Témata: TRANSFORMER models, BIOMECHANICS, REHABILITATION technology, MOTION estimation (Signal processing), MOTION analysis, ANIMAL locomotion

ESRNet: an exploring sample relationships network for arbitrary-shaped scene text detection.

Autoři: Fan, Huageng Lu, Tongwei

Zdroj: Applied Intelligence; Nov2024, Vol. 54 Issue 22, p11995-12008, 14p

Témata: TRANSFORMER models, PROBLEM solving, POLYGONS, DETECTORS

Improving Variable-Rate Learned Image Compression with Transformer-Based QR Prediction and Perceptual Optimization.

Autoři: Lee, Yong-Hwan Lee, Wan-Bum

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p12151, 32p

Témata: IMAGE compression, TRANSFORMER models, CLOUD storage, QUANTIZATION (Physics), HIGH resolution imaging, IMAGE quality analysis

Transformer-based neural marked spatio temporal point process model for analyzing football match events: Transformer-based neural marked spatio temporal point process model...: C. Yeung et al.

Autoři: Yeung, Calvin Sit, Tony Fujii, Keisuke

Zdroj: Applied Intelligence; Apr2025, Vol. 55 Issue 5, p1-17, 17p

Implicit factorized transformer approach to fast prediction of turbulent channel flows.

Autoři: Yang, Huiyu Wang, Yunpeng Wang, Jianchun

Zdroj: SCIENCE CHINA Physics, Mechanics & Astronomy; Jan2026, Vol. 69 Issue 1, p1-15, 15p

Pruning-Friendly RGB-T Semantic Segmentation for Real-Time Processing on Edge Devices.

Autoři: Hwang, Jun Young Lee, Youn Joo Jung, Ho Gi a další

Zdroj: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3408, 21p

Témata: REAL-time computing, EDGE computing, FEATURE extraction, IMAGE segmentation, IMAGE processing, CONVOLUTIONAL neural networks

Model-Free Transformer Framework for 6-DoF Pose Estimation of Textureless Tableware Objects.

Autoři: Lee, Jungwoo Kim, Hyogon Kwon, Ji-Wook a další

Zdroj: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p6167, 21p

Témata: POSE estimation (Computer vision), TRANSFORMER models, SURFACE geometry, AUTONOMOUS robots, ROBOT control systems, DEPTH maps (Digital image processing), DEGREES of freedom

Optimized encoder-based transformers for improved local and global integration in railway image classification.

Autoři: Li, Lilan Zhan, Xuemei Wu, TianTian a další

Zdroj: Frontiers in Computer Science; 2025, p1-14, 14p

Enhanced encoder–decoder architecture for accurate monocular depth estimation.

Autoři: Das, Dabbrata Das, Argho Deb Sadaf, Farhan

Zdroj: Visual Computer; Sep2025, Vol. 41 Issue 12, p9487-9508, 22p

Témata: DEPTH perception, DEEP learning, LOSS functions (Statistics), FEATURE extraction

The Effective Highlight-Detection Model for Video Clips Using Spatial—Perceptual.

Autoři: Kwak, Sungshin Lee, Jaedong Park, Sohyun

Zdroj: Electronics (2079-9292); Sep2025, Vol. 14 Issue 18, p3640, 20p

Témata: VIDEO summarization, ARTIFICIAL intelligence, TRANSFORMER models, VIDEO excerpts, SPACE perception

Transformer-variational autoencoder for estimating individual treatment effect using causal inference framework.

Autoři: Ahmad, Sohail Wang, Hong

Zdroj: Applied Intelligence; Aug2025, Vol. 55 Issue 12, p1-16, 16p