ResearchTrend.AI
An Interpretable Deep Semantic Segmentation Method for Earth Observation

An Interpretable Deep Semantic Segmentation Method for Earth Observation

Ziyang Zhang
Plamen Angelov
Eduardo Soares
Nicolas Longépé
P. Mathieu
ArXivPDFHTML

Papers citing "An Interpretable Deep Semantic Segmentation Method for Earth Observation"

2 / 2 papers shown
Title
Rethinking Semantic Segmentation: A Prototype View
Rethinking Semantic Segmentation: A Prototype View
Tianfei Zhou
Wenguan Wang
E. Konukoglu
Luc Van Gool
SSeg
50
263
0
28 Mar 2022
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
545
15,718
0
02 Nov 2015

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.