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This paper explores the impact of mask brightness on various computer vision techniques. We conducted experiments on multiple applications, ...
This paper discusses the frequency bias phenomenon in image classifica- tion tasks: the high-frequency components are ac- tually much less exploited than the ...
Aug 5, 2024 · This paper presents a comprehensive survey on fairness that summarizes and sheds light on ongoing trends and successes in the context of computer vision.
Missing: Brightness | Show results with:Brightness
This article systematically evaluates and models how brightness affects performance in Multiple Object Tracking (MOT) within screen-based environments.
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May 31, 2022 · This paper, in which the aim is to understand the effect of brightness as an augmentation technique in the training process of deep-learning ...
Feb 7, 2021 · Feature bias, which reflects measurement errors or biases in human judgment, can negatively impact fairness of machine learning models.
Missing: Brightness Computer
A novel automatic method for image enhancement to find a balance between contrast and brightness is developed by using Cuckoo Search-optimized image fusion.
Apr 25, 2024 · Bias detection is crucial for ethical AI. Discover the types of bias in computer vision and the latest techniques to mitigate them.
Missing: Brightness | Show results with:Brightness
This report discusses the proper use of three performance evaluation toolboxes—performance metrics, performance interpretation maps, and uncertainty ...
Missing: Brightness | Show results with:Brightness
Jun 15, 2018 · In this paper, I review historical and current algorithms for illumination estimation. In the classical approach, the illuminant colour is estimated by an ever ...