research
∙
06/08/2023
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction
In the domain of remote sensing image interpretation, road extraction fr...
share
research
∙
04/25/2022
OCFormer: One-Class Transformer Network for Image Classification
We propose a novel deep learning framework based on Vision Transformers ...
research
∙
03/31/2022
Deep Hyperspectral Unmixing using Transformer Network
Currently, this paper is under review in IEEE. Transformers have intrigu...
research
∙
01/04/2022
Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification
Convolutional Neural Networks (CNN) are more suitable, indeed. However, ...
research
∙
09/12/2019
diffGrad: An Optimization Method for Convolutional Neural Networks
Stochastic Gradient Decent (SGD) is one of the core techniques behind th...
research
∙
02/18/2019
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification
Hyperspectral image (HSI) classification is widely used for the analysis...
research
∙
01/10/2018
FWLBP: A Scale Invariant Descriptor for Texture Classification
In this paper we propose a novel texture recognition feature called Frac...
research
∙
11/26/2017
