MobileNetV3-Small
PulseAugur coverage of MobileNetV3-Small — every cluster mentioning MobileNetV3-Small across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New edge-cloud architecture streamlines diabetic retinopathy screening
Researchers have developed a two-tier edge-cloud architecture for automated diabetic retinopathy screening, aiming to improve efficiency in resource-constrained clinical settings. The system uses a lightweight model on …
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Lightweight CNNs benchmarked for accuracy and efficiency
A new study published on arXiv provides a reproducible benchmark for lightweight Convolutional Neural Networks (CNNs), comparing seven established architectures across CIFAR-10, CIFAR-100, and Tiny ImageNet datasets. Th…
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New lightweight method improves face image quality assessment
Researchers have developed a new, lightweight method for assessing the quality of face images, which is crucial for face recognition systems. This approach uses an ensemble of two compact neural networks, MobileNetV3-Sm…
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TinyBayes enables real-time crop disease detection on edge devices
Researchers have developed TinyBayes, a novel framework for real-time image classification on edge devices, specifically for detecting diseases in cocoa crops. This system integrates a closed-form Bayesian classifier wi…