{"id":"doi:10.1016/j.neucom.2020.12.035","kind":"article","title":"Fully integer-based quantization for mobile convolutional neural network inference","authors":["Peng Peng","Mingyu You","Weisheng Xu","Jiaxin Li"],"author_count":4,"year":2020,"published":"2020-12-23","venue":"Neurocomputing","cited_by":32,"doi":"10.1016/j.neucom.2020.12.035","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.neucom.2020.12.035","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.neucom.2020.12.035","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W3113797829","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Advanced Neural Network Applications"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"efficient-ai","name":"Efficient Training & Inference","domain_slug":"ai"}],"cited_in_dossiers":[]}