Rapid and EAsy Change detection in radar TIme-series by Variation coefficient
A guest blog post by Thomas Di Martino
Foreword by Sentinel Hub
This post is part of a series of guest blog posts written by script authors, talking about their entries to the Sentinel Hub Custom Script Contest. Thomas Di Martino and his team (Elise Colin-Koeniguer, Regis Guinvarc’h, and Laetitia Thirion-Lefevre) are among the winners in the third round of the Contest. Their winning script with detailed description is available on our GitHub repository.
A THOROUGH COMPARISON
A performance comparison of three popular techniques (Contrastive, Triplet & Quadruplet loss) used to train similarity learning algorithms on the Quora dataset [1]
Through this article, I will evaluate and compare three different losses for the task of Deep Similarity Learning. If this topic is still not perfectly understandable to you, I have written an article introducing the main concepts with code examples as well as a complete GitHub repository for you to check:
Table of Content
I. Quick overview of the task
II. Siamese Recurrent Network: similarity learning for sequences
III. Losses for Deep Similarity Learning
IV. Concrete Application: question pairs detection
I. Quick overview of the task
I used for this task the famous Quora question pairs dataset, where the main goal is to predict if two question pairs have…
An in-depth review of a Deep Learning technique for the task of similarity classification.
In this article, I will go through my take on the general concept of Similarity Learning, which processes it involves and how it can be summarized. I will then apply these outlined concepts to the context of sequence similarity detection with question similarities.
Table of Contents
- Overview of Similarity Learning
- Text Similarity Learning
- Source code (PyTorch implementation)
1. Overview of Deep Similarity Learning
When one is doing similarity learning, the same process is always performed:
A quick review of different DL architectures for the TiSeLaC challenge
Presented back in 2017 by the Université de Montpellier, the TiSeLaC challenge [1] (TiSeLaC for Time Series Land Cover) consists in predicting Land Cover class of pixels in Time Series of satellite images.
Table of Contents
- What is Time Series Satellite Imagery
- What about TiSeLaC dataset ?
- TiSeLaC classification task
- Conclusion
1. What is Time Series Satellite Imagery?
Time Series Satellite Imagery is the addition of a temporal dimension to Satellite Imagery. …
Thomas Di Martino
As a French PhD student, I am passionate to whatever comes close to Artificial Intelligence and Earth Observation.
