Results 81 to 90 of about 4,017 (161)

Contextual interaction siamese network for few-shot hyperspectral image classification

Geo-spatial Information Science
In recent years, Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have achieved significant progress in Hyperspectral Image (HSI) classification.
Qinhan Zhang, Hai Xiao, Jun Liu, Zhenfeng Shao, Zhihui Wang, Yingying Peng, Huali Li   +6 more
doaj   +1 more source

DEEP LEARNING FOR OFFLINE SIGNATURE VERIFICATION: A NOVEL MULTI-CHANNEL FEATURE FUSION NETWORK

Journal of Intelligent Systems and Applied Data Science
This paper addresses the critical challenge of offline signature verification, a task crucial for authenticating documents and identities. Existing deep learning approaches, primarily deep metric learning with Siamese networks and two-channel ...
Anuradha Kasangottuwar, Harshal Hemane
doaj   +1 more source

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM. [PDF]

J Imaging, 2023
Livieris IE, Pintelas E, Kiriakidou N, Pintelas P.   +3 more
europepmc   +1 more source

Self-supervised representation learning using feature pyramid siamese networks for colorectal polyp detection. [PDF]

Sci Rep, 2023
Gan T, Jin Z, Yu L, Liang X, Zhang H, Ye X.   +5 more
europepmc   +1 more source

Enhancing Feature Detection and Matching in Low-Pixel-Resolution Hyperspectral Images Using 3D Convolution-Based Siamese Networks. [PDF]

Sensors (Basel), 2023
Perera CJ, Premachandra C, Kawanaka H.
europepmc   +1 more source

Automated mapping of electronic data capture fields to SDTM.

PLoS ONE
ObjectiveThe goal of this work is to reduce the amount of manual work required to go from data capture to regulatory submission. It will be shown that the use of Siamese networks will allow for the generation of embeddings that can be used by traditional
Eric Yang, Laura Katz, Sushila Shenoy
doaj   +1 more source

SGAT: Shuffle and graph attention based Siamese networks for visual tracking. [PDF]

PLoS One, 2022
Wang J, Zhang L, Zhang W, Wang Y, Deng C.   +4 more
europepmc   +1 more source

PSNSleep: a self-supervised learning method for sleep staging based on Siamese networks with only positive sample pairs. [PDF]

Front Neurosci, 2023
You Y, Chang S, Yang Z, Sun Q.
europepmc   +1 more source

Few-shot pneumonia detection using Siamese networks and transfer learning on chest X-ray images

Discover Artificial Intelligence
Pneumonia remains a leading cause of mortality among children under five years of age, accounting for approximately 1.6 million deaths annually. Early detection is critical for reducing child mortality; however, traditional diagnostic methods rely on ...
Atukunda Doreen, Waweru Mwangi, Petronilla Muriithi   +2 more
doaj   +1 more source

SiamDCFF: Dynamic Cascade Feature Fusion for Vision Tracking

Sensors
Establishing an accurate and robust feature fusion mechanism is key to enhancing the tracking performance of single-object trackers based on a Siamese network.
Jinbo Lu, Na Wu, Shuo Hu
doaj   +1 more source