{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:06:29Z","timestamp":1753880789314,"version":"3.41.2"},"reference-count":18,"publisher":"World Scientific Pub Co Pte Ltd","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2023,9,30]]},"abstract":"<jats:p> This paper proposes LHFNet, an improved object detection method based on CenterNet, which achieves a better speed-accuracy trade-off. The main contributions of this paper are as follows: We design a lightweight Hourglass network to reduce the number of parameters and computations of CenterNet, thus improving the detection speed. We introduce an intermediate feature map fusion module to enhance the feature extraction capability of Hourglass, which compensates for the possible performance degradation caused by the network simplification. We apply an attention module to the final heat map to improve the image feature representation. We design and optimize a series of loss functions to train LHFNet effectively. Through the research in this paper, we demonstrate that the feature map fusion and the attention module greatly improve the performance of LHFNet. We evaluate our method on the COCO dataset and achieve a high accuracy at a fast speed (Tesla V100), which outperforms other object detection methods in terms of both accuracy and efficiency. <\/jats:p>","DOI":"10.1142\/s0218001423550145","type":"journal-article","created":{"date-parts":[[2023,8,18]],"date-time":"2023-08-18T01:42:01Z","timestamp":1692322921000},"source":"Crossref","is-referenced-by-count":1,"title":["LHFNet: A Fast and Accurate Object Detector Based on CenterNet"],"prefix":"10.1142","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3440-4033","authenticated-orcid":false,"given":"Xianrang","family":"Shi","sequence":"first","affiliation":[{"name":"College of Energy and Power, Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Su","sequence":"additional","affiliation":[{"name":"College of Energy and Power, Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Ti","sequence":"additional","affiliation":[{"name":"College of Energy and Power, Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tinglun","family":"Song","sequence":"additional","affiliation":[{"name":"Chery Automobile CO., Ltd, Wuhu, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2023,9,20]]},"reference":[{"key":"S0218001423550145BIB002","first-page":"13039","volume-title":"Proc. IEEE\/CVF Conf. 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