Weakly supervised object localization and detection: A survey

D Zhang, J Han, G Cheng… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
As an emerging and challenging problem in the computer vision community, weakly
supervised object localization and detection plays an important role for develo** new …

Remote sensing image scene classification meets deep learning: Challenges, methods, benchmarks, and opportunities

G Cheng, X **
QT Bui, QH Nguyen, XL Nguyen, VD Pham… - Journal of …, 2020 - Elsevier
This study proposed and compared several novel hybrid models that combined swarm
intelligence algorithms and Deep Learning Neural Network for flood susceptibility map** …

Relation matters: Relational context-aware fully convolutional network for semantic segmentation of high-resolution aerial images

L Mou, Y Hua, XX Zhu - IEEE Transactions on Geoscience and …, 2020 - ieeexplore.ieee.org
Most current semantic segmentation approaches fall back on deep convolutional neural
networks (CNNs). However, their use of convolution operations with local receptive fields …