Search Results for author: Vít Růžička

Found 6 papers, 6 papers with code

Unsupervised Wildfire Change Detection based on Contrastive Learning

1 code implementation26 Nov 2022 Beichen Zhang, Huiqi Wang, Amani Alabri, Karol Bot, Cole McCall, Dale Hamilton, Vít Růžička

The aim of this study is to develop an autonomous system built on top of high-resolution multispectral satellite imagery, with an advanced deep learning method for detecting burned area change.

Change Detection Contrastive Learning +1

Tighter Variational Bounds are Not Necessarily Better. A Research Report on Implementation, Ablation Study, and Extensions

1 code implementation23 Sep 2022 Amine M'Charrak, Vít Růžička, Sangyun Shin, Madhu Vankadari

We provide theoretical and empirical evidence that increasing the number of importance samples $K$ in the importance weighted autoencoder (IWAE) (Burda et al., 2016) degrades the signal-to-noise ratio (SNR) of the gradient estimator in the inference network and thereby affecting the full learning process.

Unsupervised Change Detection of Extreme Events Using ML On-Board

1 code implementation4 Nov 2021 Vít Růžička, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi

In this paper, we introduce RaVAEn, a lightweight, unsupervised approach for change detection in satellite data based on Variational Auto-Encoders (VAEs) with the specific purpose of on-board deployment.

Change Detection Management +1

Deep Active Learning in Remote Sensing for data efficient Change Detection

1 code implementation25 Aug 2020 Vít Růžička, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler

We investigate active learning in the context of deep neural network models for change detection and map updating.

Active Learning Change Detection

The Myths of Our Time: Fake News

1 code implementation5 Aug 2019 Vít Růžička, Eunsu Kang, David Gordon, Ankita Patel, Jacqui Fashimpaur, Manzil Zaheer

While the purpose of most fake news is misinformation and political propaganda, our team sees it as a new type of myth that is created by people in the age of internet identities and artificial intelligence.

BIG-bench Machine Learning Misinformation +1

Fast and accurate object detection in high resolution 4K and 8K video using GPUs

1 code implementation24 Oct 2018 Vít Růžička, Franz Franchetti

Machine learning has celebrated a lot of achievements on computer vision tasks such as object detection, but the traditionally used models work with relatively low resolution images.

object-detection Real-Time Object Detection

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