An Interpretable Deep Semantic Segmentation Method for Earth Observation

23 October 2022

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

5 / 5 papers shown

Title
IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data Ziyang Zhang Plamen Angelov D. Kangin Nicolas Longépé AI4CE 31 1 0 13 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 36 5 0 02 May 2024
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images Nikolaos Dionelis Francesco Pro Luca Maiano Irene Amerini B. L. Saux 26 2 0 17 Apr 2024
Towards interpretable-by-design deep learning algorithms Plamen Angelov D. Kangin Ziyang Zhang 8 6 0 19 Nov 2023
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015