Výsledky vyhledávání - Multi-Path Vision Transformer algorithm

MAPE-ViT: multimodal scene understanding with novel wavelet-augmented Vision Transformer.

Autoři: Ahmed, Muhammad Waqas Sadiq, Touseef Rahman, Hameedur a další

Zdroj: PeerJ Computer Science; May2025, p1-27, 27p

Témata: TRANSFORMER models, WAVELETS (Mathematics), GREY Wolf Optimizer algorithm, IMAGE recognition (Computer vision), FEATURE extraction, MULTIMODAL user interfaces

Examination of the performance of ASEL and MPViT algorithms for classifying mangrove species of multiple natural reserves of Beibu Gulf, south China

Autoři: Bolin Fu Xu He Yiyin Liang a další

Zdroj: Ecological Indicators, Vol 154, Iss , Pp 110870- (2023)

Témata: Mangrove species classification, UAV multispectral images, Adaptive stacking ensemble learning algorithms, Multi-Path Vision Transformer algorithm, SHapley Additive explanations, Ecology, QH540-549.5

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1470160X23010129; https://doaj.org/toc/1470-160X

Přístupová URL adresa: https://doaj.org/article/0a48f17ce1fd4a858b72d97e005f5517

VTIL: A multi-layer indoor location algorithm for RSSI images based on vision transformer

Autoři: Zhou, Heng Yang, Jingmin Deng, Shanghui a další

Přispěvatelé: Zhou, Heng Yang, Jingmin Deng, Shanghui a další

Zdroj: Engineering Research Express ; volume 6, issue 1, page 015069 ; ISSN 2631-8695

Dostupnost: https://doi.org/10.1088/2631-8695/ad213b
https://iopscience.iop.org/article/10.1088/2631-8695/ad213b
https://iopscience.iop.org/article/10.1088/2631-8695/ad213b/pdf

MPOCSR: optical chemical structure recognition based on multi-path Vision Transformer.

Autoři: Lin, Fan Li, Jianhua

Zdroj: Complex & Intelligent Systems; Dec2024, Vol. 10 Issue 6, p7553-7563, 11p

Témata: TRANSFORMER models, CONVOLUTIONAL neural networks, CHEMICAL structure, CHEMICAL elements, DEEP learning

EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm.

Autoři: Zhang, Jiangning Li, Xiangtai Wang, Yabiao a další

Zdroj: International Journal of Computer Vision; Sep2024, Vol. 132 Issue 9, p3509-3536, 28p

Témata: IMAGE recognition (Computer vision), TRANSFORMER models, OBJECT recognition (Computer vision), COMPUTER vision, BIOLOGICAL evolution

An Efficient UAV Image Object Detection Algorithm Based on Global Attention and Multi-Scale Feature Fusion.

Autoři: Qian, Rui Ding, Yong

Zdroj: Electronics (2079-9292); Oct2024, Vol. 13 Issue 20, p3989, 20p

Témata: OBJECT recognition (Computer vision), TRANSFORMER models, FEATURE extraction, DRONE aircraft, ALGORITHMS

Multi-task deep learning framework combining CNN: vision transformers and PSO for accurate diabetic retinopathy diagnosis and lesion localization.

Autoři: Vijayalakshmi, S. Manoharan, J. Samuel Nivetha, B. a další

Zdroj: Scientific Reports; 10/8/2025, Vol. 15 Issue 1, p1-25, 25p

Témata: DIABETIC retinopathy, DEEP learning, IMAGE analysis, CLINICAL decision support systems, CONVOLUTIONAL neural networks, TRANSFORMER models, MACHINE learning, COMPUTER-assisted image analysis (Medicine)

Vision Transformer‐Enhanced Multi‐Descriptor Approach for Robust Age‐Invariant Face Recognition.

Autoři: Appati, Justice Kwame Tsifokor, Emmanuel Amissah, Daniel Kwame a další

Zdroj: Applied AI Letters; Oct2025, Vol. 6 Issue 3, p1-16, 16p

Témata: FEATURE extraction, MACHINE learning, PATTERN recognition systems, FACE perception, TRANSFORMER models, IMAGE processing

EDFIDepth: enriched multi-path vision transformer feature interaction networks for monocular depth estimation.

Autoři: Xia, Chenxing Zhang, Mengge Gao, Xiuju a další

Zdroj: Journal of Supercomputing; Sep2024, Vol. 80 Issue 14, p21023-21047, 25p

Témata: TRANSFORMER models, FEATURE extraction, MONOCULARS, COST

Unassailable citrus disease classification via multi-stage deep ensemble learning with vision transformers.

Autoři: Sireesha, Nagineni Venkata Rekha, Gillala Almenweer, Reem A.

Zdroj: Scientific Reports; 11/18/2025, Vol. 15 Issue 1, p1-28, 28p

Témata: DEEP learning, ENSEMBLE learning, CITRUS greening disease, IMAGE recognition (Computer vision), TRANSFORMER models, FOOD security, AGRICULTURAL technology, TEXTURE analysis (Image processing)

Monocular Depth Estimation Algorithm Integrating Parallel Transformer and Multi-Scale Features.

Autoři: Wang, Weiqiang Tan, Chao Yan, Yunbing

Zdroj: Electronics (2079-9292); Nov2023, Vol. 12 Issue 22, p4669, 12p

Témata: TRANSFORMER models, PARALLEL algorithms, MONOCULARS, GEOGRAPHICAL perception, ELECTRIC transformers

Residual self-attention vision transformer for detecting acquired vitelliform lesions and age-related macular drusen.

Autoři: Powroznik, Pawel Skublewska-Paszkowska, Maria Nowomiejska, Katarzyna a další

Zdroj: Scientific Reports; 5/16/2025, Vol. 15 Issue 1, p1-22, 22p

Témata: TRANSFORMER models, ARTIFICIAL intelligence, DEEP learning, NOSOLOGY, OPTICAL coherence tomography

RMTDepth: Retentive Vision Transformer for Enhanced Self-Supervised Monocular Depth Estimation from Oblique UAV Videos.

Autoři: Zeng, Xinrui Luo, Bin Zhang, Shuo a další

Zdroj: Remote Sensing; Oct2025, Vol. 17 Issue 19, p3372, 24p

Témata: TRANSFORMER models, AERIAL surveillance, BATHYMETRY, OPTICAL aberrations, ARTIFICIAL neural networks, SUPERVISED learning

A Fine-Tuning Method via Adaptive Symmetric Fusion and Multi-Graph Aggregation for Human Pose Estimation.

Autoři: Shi, Yinliang Liu, Zhaonian Jiang, Bin a další

Zdroj: Symmetry (20738994); Jul2025, Vol. 17 Issue 7, p1098, 21p

Témata: TRANSFORMER models, DATA integrity, MULTIGRAPH, HUMAN ecology, HUMAN body, POSE estimation (Computer vision)

multiPI-TransBTS: A multi-path learning framework for brain tumor image segmentation based on multi-physical information

Autoři: Hongjun Zhu Jiaohang Huang Kuo Chen a další

Zdroj: Computers in Biology and Medicine. 191:110148

Témata: Machine Learning, FOS: Computer and information sciences, Brain Neoplasms, Computer Vision and Pattern Recognition (cs.CV), Image Interpretation, Computer-Assisted, Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, Image Processing, Computer-Assisted, FOS: Electrical engineering, electronic engineering, information engineering, Humans, Electrical Engineering and Systems Science - Image and Video Processing, Magnetic Resonance Imaging, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40215867
http://arxiv.org/abs/2409.12167

基于Transformer 的目标检测算法综述. (Zulu)

Alternate Title: Survey of Transformer-Based Object Detection Algorithms. (English)

Autoři: 李建 杜建强 朱彦陈 a další

Zdroj: Journal of Computer Engineering & Applications; 5/15/2023, Vol. 59 Issue 10, p48-64, 17p

Témata: OBJECT recognition (Computer vision), CONVOLUTIONAL neural networks, FEATURE extraction, DEEP learning, PARALLEL programming, IMAGE processing, ALGORITHMS

A pyramid Gaussian pooling based CNN and transformer hybrid network for smoke segmentation.

Autoři: Wang, Guiqian Yuan, Feiniu Li, Hongdi a další

Zdroj: IET Image Processing (Wiley-Blackwell); 10/16/2024, Vol. 18 Issue 12, p3206-3217, 12p

Témata: CONVOLUTIONAL neural networks, OBJECT recognition (Computer vision), TRANSFORMER models, IMAGE processing, IMAGE segmentation

Vision Transformers for Image Classification: A Comparative Survey.

Autoři: Wang, Yaoli Deng, Yaojun Zheng, Yuanjin a další

Zdroj: Technologies (2227-7080); Jan2025, Vol. 13 Issue 1, p32, 32p

Témata: PATTERN recognition systems, NATURAL language processing, IMAGE recognition (Computer vision), TRANSFORMER models, OBJECT recognition (Computer vision)

GeometryFormer: Semi-Convolutional Transformer Integrated with Geometric Perception for Depth Completion in Autonomous Driving Scenes.

Autoři: Su, Siyuan Wu, Jian

Zdroj: Sensors (14248220); Dec2024, Vol. 24 Issue 24, p8066, 20p

Témata: CONVOLUTIONAL neural networks, TRANSFORMER models, STANDARD deviations, DEEP learning, DEPTH maps (Digital image processing)

X2_PDDVnet: An Explainable AI Based Dual Path Dense Dilated Vision Transformer Network Based Anomaly Detection.

Autoři: K., Shameem Akthar Priya, K. Lakshmi

Zdroj: Journal Européen des Systèmes Automatisés; Apr2025, Vol. 58 Issue 4, p669-687, 19p

Témata: CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, TRANSFORMER models, ANOMALY detection (Computer security), PUBLIC safety, INTRUSION detection systems (Computer security), VIDEO surveillance