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A Comparative Study of Deep Learning Loss Functions for Multi-Label
  Remote Sensing Image Classification

A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification

29 September 2020
Hichame Yessou
Gencer Sumbul
Begüm Demir
ArXivPDFHTML

Papers citing "A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification"

5 / 5 papers shown
Title
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
Tom Burgert
Tim Siebert
Kai Norman Clasen
Begüm Demir
Begüm Demir
49
1
0
22 May 2024
Combining Varied Learners for Binary Classification using Stacked
  Generalization
Combining Varied Learners for Binary Classification using Stacked Generalization
Sruthi Nair
Abhishek Gupta
Raunak Joshi
V. Chitre
28
8
0
17 Feb 2022
A Consensual Collaborative Learning Method for Remote Sensing Image
  Classification Under Noisy Multi-Labels
A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels
A. Aksoy
Mahdyar Ravanbakhsh
Tristan Kreuziger
Begüm Demir
38
3
0
12 May 2021
Evaluating explainable artificial intelligence methods for multi-label
  deep learning classification tasks in remote sensing
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing
Ioannis Kakogeorgiou
Konstantinos Karantzalos
XAI
23
118
0
03 Apr 2021
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image
  Classification
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification
A. Aksoy
Mahdyar Ravanbakhsh
Begüm Demir
35
24
0
19 Dec 2020
1