Weak Supervision in Enemy Detection Based on Computer Game Output Video Stream
Ładowanie...
Data
2023
Autorzy
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
This work contains a solution for image classification and enemy
detection in the output video stream of a computer game. Weak supervision
was used to achieve the goal. It shows that an image dataset with a
certain number of incorrect classification labels can be used to correctly
build a classification model that distinguishes between images containing
and not containing an enemy. Based on the results of such classification
stage and the use of class activation maps, a method for detecting enemies
on positively classified images was proposed. The tedious process of image
labeling, which is necessary for supervised learning, does not occur here.
Opis
Słowa kluczowe
computer game testing, computer vision, weak supervision, testowanie gier komputerowych, wizja komputerowa, słaby nadzór
Cytowanie
Rajtar J., Szajerman D., Weak Supervision in Enemy Detection Based on Computer Game Output Video Stream. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 80-86, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.11.