Multisource compensation network for remote sensing cross-domain scene classification
Cross-domain scene classification refers to the scene classification task in which the training
set (termed source domain) and the test set (termed target domain) come from different …
set (termed source domain) and the test set (termed target domain) come from different …
First-arrival picking with a U-net convolutional network
L Hu, X Zheng, Y Duan, X Yan, Y Hu, X Zhang - Geophysics, 2019 - library.seg.org
In exploration geophysics, the first arrivals on data acquired under complicated near-surface
conditions are often characterized by significant static corrections, weak energy, low signal …
conditions are often characterized by significant static corrections, weak energy, low signal …
Positional context aggregation network for remote sensing scene classification
To capture the long-range dependence of an input image for remote sensing scene (RSS)
classification, in this letter, we propose a general positional context aggregation (PCA) …
classification, in this letter, we propose a general positional context aggregation (PCA) …
[PDF][PDF] DOMAIN ADAPTATION FOR VEHICLE DETECTION IN TRAFFIC SURVEILLANCE 1 IMAGES FROM DAYTIME TO NIGHTTIME 2
ABSTRACT 1 Vehicle detection in traffic surveillance images is an important approach to
obtain vehicle data 2 and rich traffic flow parameters. Recently, deep learning based …
obtain vehicle data 2 and rich traffic flow parameters. Recently, deep learning based …