<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Conference Paper</dc:product_type><dc:title>Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution</dc:title><dc:creator>Wu, Guojun; Zhang, Xin; Zhang, Ziming; Li, Yanhua; Zhou, Xun; Brinton, Christopher; Liu, Zhenming</dc:creator><dc:corporate_author/><dc:editor/><dc:description/><dc:publisher/><dc:date>2023-01-01</dc:date><dc:nsf_par_id>10420175</dc:nsf_par_id><dc:journal_name>2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</dc:journal_name><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation>3847 to 3857</dc:page_range_or_elocation><dc:issn/><dc:isbn/><dc:doi>https://doi.org/10.1109/WACV56688.2023.00385</dc:doi><dcq:identifierAwardId>1942680; 1952085; 2021871</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>