{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:22:23Z","timestamp":1750220543761,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,2,26]],"date-time":"2021-02-26T00:00:00Z","timestamp":1614297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,2,26]]},"DOI":"10.1145\/3457682.3457760","type":"proceedings-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T21:53:34Z","timestamp":1624312414000},"page":"509-514","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A Model for Text Line Segmentation and Classification in Printed Documents"],"prefix":"10.1145","author":[{"given":"Xin","family":"Wang","sequence":"first","affiliation":[{"name":"East China Normal University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Guo","sequence":"additional","affiliation":[{"name":"East China Normal University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,6,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"e_1_3_2_1_2_1","volume-title":"Spatial pyramid pooling in deep convolutional networks for visual recognition. In the IEEE transactions on pattern analysis and machine intelligence (PAMI)","author":"He K","year":"2015","unstructured":"He K , Zhang X , Ren S , Spatial pyramid pooling in deep convolutional networks for visual recognition. In the IEEE transactions on pattern analysis and machine intelligence (PAMI) , 2015 , 37 (9): 1904-1916. He K, Zhang X, Ren S, Spatial pyramid pooling in deep convolutional networks for visual recognition. In the IEEE transactions on pattern analysis and machine intelligence (PAMI), 2015, 37 (9): 1904-1916."},{"volume-title":"the IEEE international conference on computer vision (ICCV). 2015: 1440-1448","author":"Girshick R.","key":"e_1_3_2_1_3_1","unstructured":"Girshick R. Fast r-cnn . In the IEEE international conference on computer vision (ICCV). 2015: 1440-1448 . Girshick R. Fast r-cnn. In the IEEE international conference on computer vision (ICCV). 2015: 1440-1448."},{"key":"e_1_3_2_1_4_1","unstructured":"Ren S He K Girshick R Faster r-cnn: Towards real-time object detection with region proposal networks. In the neural information processing systems (NIPS). 2015: 91-99.  Ren S He K Girshick R Faster r-cnn: Towards real-time object detection with region proposal networks. In the neural information processing systems (NIPS). 2015: 91-99."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"He\n      K Gkioxari\n      G Dollar P Mask r-cnn[C]. In ICCV.\n  2017\n  :  \n  2961\n  -\n  2969\n  .  He K Gkioxari G Dollar P Mask r-cnn[C]. In ICCV. 2017: 2961-2969.","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Cai\n      Z Vasconcelos\n      N.\n  Cascade r-cnn: Delving into high quality object detection\n  . In \n  CVPR.\n  2018\n  :  \n  6154\n  -\n  6162\n  .  Cai Z Vasconcelos N. Cascade r-cnn: Delving into high quality object detection. In CVPR. 2018: 6154-6162.","DOI":"10.1109\/CVPR.2018.00644"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Redmon\n      J Divvala\n      S Girshick\n      R You only look once: Unified real-time object detection\n  . In \n  CVPR.\n  2016\n  :  \n  779\n  -\n  788\n  .  Redmon J Divvala S Girshick R You only look once: Unified real-time object detection. In CVPR. 2016: 779-788.","DOI":"10.1109\/CVPR.2016.91"},{"key":"e_1_3_2_1_8_1","volume-title":"Erhan D","author":"Liu W","year":"2016","unstructured":"Liu W , Anguelov D , Erhan D , Ssd : Single shot multibox detector. In European conference on computer vision. Springer , Cham, 2016 : 21-37. Liu W, Anguelov D, Erhan D, Ssd: Single shot multibox detector. In European conference on computer vision. Springer, Cham, 2016: 21-37."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Lin\n      T Y Goyal\n      P Girshick\n      R Focal loss for dense object detection\n  . In \n  ICCV.\n  2017\n  :  \n  2980\n  -\n  2988\n  .  Lin T Y Goyal P Girshick R Focal loss for dense object detection. In ICCV. 2017: 2980-2988.","DOI":"10.1109\/ICCV.2017.324"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Law\n      H Deng J. Cornernet: Detecting objects as paired keypoints\n  . In \n  European Conference on Computer Vision (ECCV).\n  2018\n  : \n  734\n  -\n  750\n  .  Law H Deng J. Cornernet: Detecting objects as paired keypoints. In European Conference on Computer Vision (ECCV). 2018: 734-750.","DOI":"10.1007\/978-3-030-01264-9_45"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Zhou\n      X Zhuo\n      J Krahenbuhl\n      P.\n  Bottom-up object detection by grouping extreme and center points\n  . In \n  CVPR.\n  2019\n  :  \n  850\n  -\n  859\n  .  Zhou X Zhuo J Krahenbuhl P. Bottom-up object detection by grouping extreme and center points. In CVPR. 2019: 850-859.","DOI":"10.1109\/CVPR.2019.00094"},{"key":"e_1_3_2_1_12_1","volume-title":"Chen H","author":"Tian Z","year":"1904","unstructured":"Tian Z , Shen C , Chen H , FCOS : Fully Convolutional One-Stage Object Detection . arXiv preprint arXiv: 1904 .01355, 2019. Tian Z, Shen C, Chen H, FCOS: Fully Convolutional One-Stage Object Detection. arXiv preprint arXiv: 1904.01355, 2019."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/1138831.1711169"},{"key":"e_1_3_2_1_14_1","volume-title":"CenterNet: Keypoint Triplets for Object Detection[J]. arXiv preprint arXiv","author":"Duan K","year":"1904","unstructured":"Duan K , Bai S , Xie L , CenterNet: Keypoint Triplets for Object Detection[J]. arXiv preprint arXiv : 1904 .08189, 2019. Duan K, Bai S, Xie L, CenterNet: Keypoint Triplets for Object Detection[J]. arXiv preprint arXiv: 1904.08189, 2019."},{"volume-title":"the 24th ACM international conference on Multimedia. ACM","author":"Yu J","key":"e_1_3_2_1_15_1","unstructured":"Yu J , Jiang Y , Wang Z , Unitbox : An advanced object detection network . In the 24th ACM international conference on Multimedia. ACM , 2016: 516-520. Yu J, Jiang Y, Wang Z, Unitbox: An advanced object detection network. In the 24th ACM international conference on Multimedia. ACM, 2016: 516-520."},{"key":"e_1_3_2_1_16_1","volume-title":"Gevers T, Selective search for object recognition. In International journal of computer vision (IJCV)","author":"Uijlings J R R","year":"2013","unstructured":"Uijlings J R R , Van De Sande K E A , Gevers T, Selective search for object recognition. In International journal of computer vision (IJCV) , 2013 , 104 (2): 154-171. Uijlings J R R, Van De Sande K E A, Gevers T, Selective search for object recognition. In International journal of computer vision (IJCV), 2013, 104 (2): 154-171."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Pang\n      J Chen\n      K Shi\n      J Libra r-cnn: Towards balanced learning for object detection\n  . In \n  CVPR.\n  2019\n  :  \n  821\n  -\n  830\n  .  Pang J Chen K Shi J Libra r-cnn: Towards balanced learning for object detection. In CVPR. 2019: 821-830.","DOI":"10.1109\/CVPR.2019.00091"},{"key":"e_1_3_2_1_18_1","volume-title":"He K","author":"Dai J","year":"2016","unstructured":"Dai J , Li Y , He K , R-fcn : Object detection via region-based fully convolutional networks. In NIPS. 2016 : 379-387. Dai J, Li Y, He K, R-fcn: Object detection via region-based fully convolutional networks. In NIPS. 2016: 379-387."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Redmon\n      J Farhadi\n      A.\n  YOLO9000: better faster stronger\n  . In \n  CVPR.\n  2017\n  :  \n  7263\n  -\n  7271\n  .  Redmon J Farhadi A. YOLO9000: better faster stronger. In CVPR. 2017: 7263-7271.","DOI":"10.1109\/CVPR.2017.690"},{"key":"e_1_3_2_1_20_1","volume-title":"Yolov3: An incremental improvement. arXiv preprint arXiv","author":"Redmon J","year":"1804","unstructured":"Redmon J , Farhadi A. Yolov3: An incremental improvement. arXiv preprint arXiv : 1804 .02767, 2018. Redmon J, Farhadi A. Yolov3: An incremental improvement. arXiv preprint arXiv: 1804.02767, 2018."},{"key":"e_1_3_2_1_21_1","volume-title":"Feature selective anchor-free module for single-shot object detection. arXiv preprint arXiv","author":"Zhu C","year":"1903","unstructured":"Zhu C , He Y , Savvides M. Feature selective anchor-free module for single-shot object detection. arXiv preprint arXiv : 1903 .00621, 2019. Zhu C, He Y, Savvides M. Feature selective anchor-free module for single-shot object detection. arXiv preprint arXiv: 1903.00621, 2019."},{"key":"e_1_3_2_1_22_1","volume-title":"FoveaBox: Beyond Anchor-based Object Detector. arXiv preprint arXiv","author":"Kong T","year":"1904","unstructured":"Kong T , Sun F , Liu H , FoveaBox: Beyond Anchor-based Object Detector. arXiv preprint arXiv : 1904 .03797, 2019. Kong T, Sun F, Liu H, FoveaBox: Beyond Anchor-based Object Detector. arXiv preprint arXiv: 1904.03797, 2019."}],"event":{"name":"ICMLC 2021: 2021 13th International Conference on Machine Learning and Computing","acronym":"ICMLC 2021","location":"Shenzhen China"},"container-title":["2021 13th International Conference on Machine Learning and Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3457682.3457760","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3457682.3457760","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:08Z","timestamp":1750195688000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3457682.3457760"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,26]]},"references-count":22,"alternative-id":["10.1145\/3457682.3457760","10.1145\/3457682"],"URL":"https:\/\/doi.org\/10.1145\/3457682.3457760","relation":{},"subject":[],"published":{"date-parts":[[2021,2,26]]},"assertion":[{"value":"2021-06-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}