Abstract: The efficient deployment of Recurrent Neural Networks (RNNs), particularly long short-term memory (LSTM) architectures, on edge devices has become increasingly important due to their ability ...
As shown below, the inferred masks predicted by our segmentation model trained by the dataset appear similar to the ground truth masks. Wet Age-related Macular Degeneration (wet AMD) significantly ...
A high-performance React Native SDK for extracting raw pixel data from images and preparing it for machine learning inference. Native implementations in Swift (iOS) and Kotlin (Android) ensure optimal ...
Abstract: Hyperspectral image classification demands models capable of efficiently capturing complex spectral–spatial relationships and long-range dependencies. Despite significant advances in CNNs ...
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