6 citations · 6 across the 6 of their papers we have counts for
6 papers
Frugal Satellite Image Change Detection with Deep-Net Inversion
Hichem Sahbi, Sebastien Deschamps
Change detection in satellite imagery seeks to find occurrences of targeted changes in a given scene taken at different instants. This task has several applications ranging from la…
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection
Hichem Sahbi, Sebastien Deschamps
Satellite image change detection aims at finding occurrences of targeted changes in a given scene taken at different instants. This task is highly challenging due to the acquisitio…
Frugal Reinforcement-based Active Learning
Sebastien Deschamps, Hichem Sahbi
Most of the existing learning models, particularly deep neural networks, are reliant on large datasets whose hand-labeling is expensive and time demanding. A current trend is to ma…
Reinforcement-based frugal learning for satellite image change detection
Sebastien Deschamps, Hichem Sahbi
In this paper, we introduce a novel interactive satellite image change detection algorithm based on active learning. The proposed approach is iterative and asks the user (oracle) q…
Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image Change Detection
Hichem Sahbi, Sebastien Deschamps
In this paper, we devise a novel interactive satellite image change detection algorithm based on active learning. The proposed framework is iterative and relies on a question and a…
Active learning for interactive satellite image change detection
Hichem Sahbi, Sebastien Deschamps, Andrei Stoian
We introduce in this paper a novel active learning algorithm for satellite image change detection. The proposed solution is interactive and based on a question and answer model, wh…