Results 91 to 100 of about 2,516,559 (186)

Improved Road Extraction Models through Semi-Supervised Learning with ACCT

ISPRS International Journal of Geo-Information
Improving the performance and reducing the training cost of road extraction models in the absence of samples is important for updating road maps. Despite the success of recent road extraction models on standard datasets, they often fail to perform when ...
Hao Yu, Shihong Du, Zhenshan Tan, Xiuyuan Zhang, Zhijiang Li   +4 more
doaj   +1 more source

Advanced Feature Learning on Point Clouds Using Multi-Resolution Features and Learnable Pooling

Remote Sensing
Existing point cloud feature learning networks often learn high-semantic point features representing the global context by incorporating sampling, neighborhood grouping, neighborhood-wise feature learning, and feature aggregation.
Kevin Tirta Wijaya, Dong-Hee Paek, Seung-Hyun Kong   +2 more
doaj   +1 more source

Disentangle-and-aggregate feature learning (DAFNet) for motor bearing fault diagnosis. [PDF]

Sci Rep
Tang J, Xiao C, Guo D, Bao J, Ji X, Wang C.   +5 more
europepmc   +1 more source

Multi-Scale Feature Learning for Farmland Segmentation Under Complex Spatial Structures. [PDF]

Entropy (Basel)
Han Y, Wang Y, Zhang Y, Ai H, Qin C, Zhang X.   +5 more
europepmc   +1 more source

Multitask optimization and convergence stability with hierarchical feature learning for self guided optimization. [PDF]

Sci Rep
Mahmood K, Althobaiti MM, Hassan MU, Khan S, Khan M, Alsoufi MA.   +5 more
europepmc   +1 more source

Demographic identification of Greater Caribbean manatees via acoustic feature learning. [PDF]

Front Artif Intell
Merchan F, Contreras K, Poveda H, Estévez RM, Guzman HM, Sanchez-Galan JE.   +5 more
europepmc   +1 more source

3D Local Feature Learning and Analysis on Point Cloud Parts via Momentum Contrast. [PDF]

Sensors (Basel)
Sha X, Mashita T, Chiba N, Zhang L.
europepmc   +1 more source

Breast cancer histopathological image classification based on collaborative multi-domain feature learning. [PDF]

PLoS One
He L, Hu H, Cheng R.
europepmc   +1 more source

A Progressive Feature Learning Network for <i>Cordyceps sinensis</i> Image Recognition. [PDF]

Sensors (Basel)
Liu S, Wu W, Chen H, You S, Lu J, Mao L, Zhang F, Ji Y.   +7 more
europepmc   +1 more source

VT-MFLV: Vision-Text Multimodal Feature Learning V Network for Medical Image Segmentation. [PDF]

J Imaging
Wang W, Li J, Ye Z, Cai Y, Wang Z, Zhang R.   +5 more
europepmc   +1 more source