AL
A. Lengyel
4 records found
1
Authored
Addressing Illumination-Based Domain Shifts in Deep Learning
A Physics-Based Approach
This work investigates how prior knowledge from physics-based reflection models can be used to improve the performance of semantic segmentation models under an illumination-based domain shift. We implement various color invariants as a preprocessing step and find that CNNs traine
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Contributed
Algal Bloom Forecasting
Classical Machine Learning versus Deep-Learning
The aim of this paper is to find out which Machine Learning (ML) model predicts the concentration of Chlorophyll-a, in the Palmar lake in Uruguay best. Currently there are no such models to predict the growth in this lake. The algorithms which will be compared in this paper are a
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Efficient Temporal Action Localization model development practices
A review and analysis of models and a guide of best methods
Temporal Action Localization (TAL) is an important problem in computer vision with uses in video surveillance and recommendation, healthcare, entertainment, and human-computer interaction. Being an inherently data-heavy process, TAL has been bound by the availability of computing
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In this paper we analyze the performance of a novel clustering objective that optimizes a neural network to predict segmentation. We challenge the reported results by replicating the original experiments and conducting additional tests to gain an insight into the algorithm. We an
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