TinyViT-5M
PulseAugur coverage of TinyViT-5M — every cluster mentioning TinyViT-5M across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Smart glasses adapt to data shifts using frequency descriptors, cutting bandwidth needs
Researchers have developed a novel framework called "No Frames, Just Frequencies" for adapting deep neural networks on smart glasses. This method efficiently handles distribution shifts by transmitting compact frequency…
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AI models improve Pap smear classification trustworthiness
Researchers have explored selective prediction and uncertainty-aware referral for Pap smear classification using deep learning models. By fine-tuning Swin-Tiny and TinyViT-5M transformers on the Herlev Pap smear dataset…
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New framework enhances reliability of AI for cervical cytology classification
Researchers have developed a novel framework called Hybrid-K ensemble selection to improve the reliability of cervical cytology classification using deep learning models. This framework focuses on enhancing calibrated c…
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New calibration method boosts AI reliability in imbalanced medical datasets
Researchers have developed a new method for improving the reliability of classification models, particularly in scenarios with imbalanced data, such as cervical cytology. The study focused on the Mendeley LBC dataset, u…