Abstract: High-precision underwater object detection is a crucial component for improving the efficiency of marine resource development. Traditional detection methods face challenges due to underwater ...
However, there have been limited substantive efforts to address bias at the level of the data used to generate algorithms in healthcare datasets. Objective: We create a simple metric (AEquity) that ...
Abstract: Unsupervised change detection (CD) algorithms typically identify changed areas by comparing pixels or ground objects in co-registered bi-temporal images. However, due to small viewpoint ...
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