A Deep Learning Semantic Segmentation Method for Landslide Scene Based on Transformer Architecture

A review on the attention mechanism of deep learning

(2021) Zhaoyang Niu et al.   NEUROCOMPUTING

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Survey on semantic segmentation using deep learning techniques

(2019) Fahad Lateef et al.   NEUROCOMPUTING

A Survey of Coarse-Grained Reconfigurable Architecture and Design

(2019) Leibo Liu et al.   ACM COMPUTING SURVEYS

Impact of fully connected layers on performance of convolutional neural networks for image classification

(2019) S.H. Shabbeer Basha et al.   NEUROCOMPUTING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep Learning for Computer Vision: A Brief Review

(2018) Athanasios Voulodimos et al.   Computational Intelligence and Neuroscience

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Learning Pooling for Convolutional Neural Network

(2017) Manli Sun et al.   NEUROCOMPUTING

Recent advances in symmetric and network dynamics

(2015) Martin Golubitsky et al.   CHAOS

Deep learning

(2015) Yann LeCun et al.   NATURE

Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration

(2010) Rex L. Baum et al.   JOURNAL OF GEOPHYSICAL RESEARCH