{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T08:05:26Z","timestamp":1725609926362},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:p>Binarized\u00a0 convolutional neural networks (BCNNs) are widely used to improve memory and computation efficiency of deep convolutional neural networks (DCNNs) for mobile and AI chips based applications. However, current BCNNs are not able to fully explore their corresponding full-precision models, causing a significant performance gap between them. In this paper, we propose rectified binary convolutional networks (RBCNs), towards optimized BCNNs, by combining full-precision kernels and feature maps to rectify the binarization process in a unified framework. In particular, we use a GAN to train the 1-bit binary network with the guidance of its corresponding full-precision model, which significantly improves the performance of BCNNs. The rectified convolutional layers are generic and flexible, and can be easily incorporated into existing DCNNs such as WideResNets and ResNets. Extensive experiments demonstrate the superior performance of the proposed RBCNs over state-of-the-art BCNNs. In particular, our method shows strong generalization on the object tracking task.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/120","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:46:05Z","timestamp":1564299965000},"page":"854-860","source":"Crossref","is-referenced-by-count":11,"title":["Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs"],"prefix":"10.24963","author":[{"given":"Chunlei","family":"Liu","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenrui","family":"Ding","sequence":"additional","affiliation":[{"name":"Unmanned System Research Institute, Beihang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Xia","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Beihang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baochang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Automation Science and Electrical Engineering, Beihang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianzhuang","family":"Liu","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bohan","family":"Zhuang","sequence":"additional","affiliation":[{"name":"The University of Adelaide, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guodong","family":"Guo","sequence":"additional","affiliation":[{"name":"Institute of Deep Learning, Baidu Research"},{"name":"National Engineering Laboratory for Deep Learning Technology and Application"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2019","name":"Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}","start":{"date-parts":[[2019,8,10]]},"theme":"Artificial Intelligence","location":"Macao, China","end":{"date-parts":[[2019,8,16]]}},"container-title":["Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:46:56Z","timestamp":1564300016000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/120"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2019\/120","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}