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IMAFD: An Interpretable Multi-stage Approach to Flood Detection from
  time series Multispectral Data

IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data

13 May 2024
Ziyang Zhang
Plamen Angelov
D. Kangin
Nicolas Longépé
    AI4CE
ArXivPDFHTML

Papers citing "IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data"

4 / 4 papers shown
Title
B-cos Alignment for Inherently Interpretable CNNs and Vision
  Transformers
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers
Moritz D Boehle
Navdeeppal Singh
Mario Fritz
Bernt Schiele
47
26
0
19 Jun 2023
Visual Recognition with Deep Nearest Centroids
Visual Recognition with Deep Nearest Centroids
Wenguan Wang
Cheng Han
Tianfei Zhou
Dongfang Liu
49
89
0
15 Sep 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
420
15,438
0
02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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