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A. Ilioudi

4 records found

Deep Learning (DL) has transformed computer vision, leading to significant
progress in areas like autonomous vehicles and industrial automation. However, its application in underwater environments remains challenging due to factors such as light absorption, scattering, and wa ...
Robust object detection is crucial for automating underwater marine debris collection. While supervised deep learning achieves state-of-the-art performance in discriminative tasks, replicating this success on underwater data is challenging. The generalization of these methods suf ...
The majority of computer vision architectures are developed based on the assumption of the availability of good quality data. However, this is a particularly hard requirement to achieve in underwater conditions. To address this limitation, plenty of underwater image enhancement m ...

Deep Learning for Object Detection and Segmentation in Videos

Toward an Integration With Domain Knowledge

Deep learning has enabled the rapid expansion of computer vision tasks from image frames to video segments. This paper focuses on the review of the latest research in the field of computer vision tasks in general and on object localization and identification of their associated p ...