1 code implementation • 18 Jan 2024 • Hao Li, Gopi Krishnan Rajbahadur, Dayi Lin, Cor-Paul Bezemer, Zhen Ming, Jiang
This classifier is then used to detect if a trained model is overfit.
no code implementations • 8 Dec 2023 • Mohammad Reza Taesiri, Tianjun Feng, Anh Nguyen, Cor-Paul Bezemer
To address this gap, we introduce GlitchBench, a novel benchmark derived from video game quality assurance tasks, to test and evaluate the reasoning capabilities of LMMs.
1 code implementation • 5 Oct 2022 • Mohammad Reza Taesiri, Finlay Macklon, Yihe Wang, Hengshuo Shen, Cor-Paul Bezemer
As a result, it is challenging to fully automate game testing.
1 code implementation • 21 Mar 2022 • Mohammad Reza Taesiri, Finlay Macklon, Cor-Paul Bezemer
Our approach does not rely on any external information (such as video metadata); it works solely based on the content of the video.
no code implementations • 18 Jan 2022 • Hao Li, Cor-Paul Bezemer
Our study shows that the vast majority of the studied bindings cover only a small portion of the source library releases, and the delay for receiving support for a source library release is large.
no code implementations • 22 Oct 2021 • Mikael Sabuhi, Ming Zhou, Cor-Paul Bezemer, Petr Musilek
The goal of this review paper is to analyze and summarize: (1) which anomaly detection techniques can benefit from certain types of GANs, and how, (2) in which application domains GAN-assisted anomaly detection techniques have been applied, and (3) which datasets and performance metrics have been used to evaluate these techniques.