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Specifically, the network consists of information divide-and-conquer groups (IDCG) to preserve the low-frequency structure of images as well as restore high-frequency information. The kernel of IDCG contains several essential components: (a) a simple attention module and an effective residual attention module to maintain low-frequency structures and restore high-frequency information, (b) a novel local merge cell alleviates information redundancy that flexibly and adaptively fuses multiple informative features from different states. Lastly, a multi-scale aggregation unit is designed to improve the final reconstruction. Through a series of experiments, we prove that our method is more effective than previous state-of-the-art results in both quantitative and qualitative evaluation. <\/jats:p>","DOI":"10.1142\/s0218126622501924","type":"journal-article","created":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T11:05:35Z","timestamp":1648897535000},"source":"Crossref","is-referenced-by-count":1,"title":["Tree-Like Branching Network for Single Image Super-Resolution with Divide-and-Conquer"],"prefix":"10.1142","volume":"31","author":[{"given":"Ying","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Computer and Information, Hefei University of Technology, Hefei 230601, P.\u00a0R.\u00a0China"}]},{"given":"Zeliang","family":"Zhao","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, No. 800, Dongchuan Road, Shanghai 200240, P.\u00a0R.\u00a0China"}]},{"given":"Kun","family":"Shao","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Hefei University of Technology, Hefei 230601, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5568-0264","authenticated-orcid":false,"given":"Shu","family":"Zhan","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Hefei University of Technology, Hefei 230601, P.\u00a0R.\u00a0China"}]}],"member":"219","published-online":{"date-parts":[[2022,4,1]]},"reference":[{"key":"S0218126622501924BIB001","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026501619075"},{"key":"S0218126622501924BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/j.asr.2020.09.002"},{"key":"S0218126622501924BIB004","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105590"},{"first-page":"1","volume-title":"2008 IEEE Conf. 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