Phương pháp phân tích bố cục tài liệu hiệu quả bộ nhớ bằng cách sử dụng LD-Net

Bhowmik S, Kundu S, Sarkar R (2020) BINYAS: A complex document layout analysis system. Multimedia Tools Appl, pp 1–34 Binmakhashen GM, Mahmoud SA (2019) Document layout analysis: A comprehensive survey. ACM Comput Surv 52(6):1–36 Breuel T (2002) Two geometric algorithms for layout analysis. In: Proc ACM Int Workshop Doc Anal Syst, Princeton, USA, pp 188–199 Breuel T (2008) The OCRopus open source OCR system. In: Proc IS&T/SPIE 20th Annu Symp, San Jose, California, USA, pp 0F1–0F15 Bukhari SS, Shafait F, Breuel T (2011) Improved document image segmentation algorithm using multiresolution morphology. In: SPIE document recognition and retrieval XVIII, DRR’11, San Francisco, USA, pp 78740D–78740D Bukhari S, Shafait F, Breuel T (2013) Towards generic text-line extraction. In: Proc Int Conf Document Anal Recognit (ICDAR), Washington, pp 748–752 Bukhari S, Shafait F, Breuel T (2013) Coupled snakelets for curled text-line segmentation from warped document images. Int J Doc Anal Recognit. (IJDAR) 16(1):33–53 Campos VB, Calvo-Zaragoza J, Toselli AH, Ruiz EV (2016) Sheet Music Statistical Layout Analysis. In: Proc 14th Int Conf Frontiers Handwriting Recognit (ICFHR), Shenzhen, China, pp 313–318 Chang F, Chu S-Y, Chen C-Y (2005) Chinese document layout analysis using adaptive regrouping strategy. Pattern Recognit 38:261–271 Dai-Ton H, Duc-Dung N, Duc-Hieu L (2016) An, adaptive over-split and merge algorithm for page segmentation. Pattern Recogn Lett 80:137–143 De R, Chakraborty A, Sarkar R (2020) Document image binarization using dual discriminator generative adversarial networks. IEEE Signal Process Lett 27:1090–1094 Gao L, Yi X, Jiang Z, Hao L, Tang Z (2017) ICDAR 2017 competition on page object detection. In: Proc 14th IAPR Int Conf Document Anal Recognit (ICDAR), Kyoto, Japan, pp 141–1422 Hesham AM, Rashwan MA, Al-Barhamtoshy HM, Abdou SM, Badr AA, Farag I (2017) Arabic document layout analysis. Pattern Anal Appl 20:1275–1287 Howard AG, Zhu M, Chen B, Kalenichenko D, Wang W, Weyand T, Andreetto M, Adam H (2017) Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv:1704.04861 Kasar T, Barlas P, Adam S, Chatelain C, Paquet T (2013) Learning to detect tables in scanned document images using line information. In: Proc Int Conf Document Anal Recognit (ICDAR), pp 1185–1189 Koci E, Thiele M, Lehner W, Romero O (2018) Table recognition in spreadsheets via a graph representation. In: IAPR international workshop on document analysis systems (DAS). IEEE, Vienna, Austria, pp 139–144 Le VP, Nayef N, Visani M, Ogier J, Tran CD (2015) Text and non-text segmentation based on connected component features. In: Proc Int Conf Document Anal Recognit (ICDAR), Tunis, pp 1096–1100 Li Y, Zou Y, Ma J (2018) DeepLayout: A semantic segmentation approach to page layout analysis. In: Proc Int Conf Intell Comput, Bengaluru, India, pp 266–277 Min W, Fan M, Guo X, Han Q (2018) A new approach to track multiple vehicles with the combination of robust detection and two classifiers. IEEE Trans Intell Trans Syst 19:174–186 Moysset B, Messina R (2019) Are 2d-lstm really dead for offline text recognition. Int J Document Anal Recognit (IJDAR) 22:1–16 Nayef N, Ogier J (2015) Text zone classification using unsupervised feature learning. In: Proc Int Conf Document Anal Recognit (ICDAR), Tunis, pp 776–780 Nguyen NV, Rigaud C, Burie JC (2019) Comic MTL: optimized multi-task learning for comic book image analysis. Int J Document Anal Recognit (IJDAR) 22:265–284 Niu Y, Wen J, Zhong P, Xue Y (2019) A Hybrid, R-BILSTM-C neural network based text steganalysis. IEEE Signal Process Lett 26(12):1907–1911 Oliveira DAB, Viana PM (2017) Fast CNN-based document layout analysis. In: Proc IEEE Conf Comput Vis Pattern Recog, Waikiki, USA, pp 1173–1180 Otsu N (1979) Threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern SMC-9(1):62–66 Phillips I (1995) User’s reference manual, cd-rom, uw-iii document image database-iii Qin X, Zhou Y, He Z, Wang Y, Tang Z (2017) A Faster R-CNN based method for comic characters face detection. In: Proc Int Conf Document Anal Recognit (ICDAR), Kyoto, Japan, pp 1074–1080 Royer E, Bouchara F (2017) Guiding text image keypoints extraction through layout analysis. In: Proc Int Conf Document Anal Recognit (ICDAR), Kyoto, Japan, pp 9–14 Selvaraju RR, Cogswell M, Das A, Vedantam R, Parikh D, Batra D (2017) Grad-CAM: Visual explanations from deep networks via gradient-based localization. In: Proc IEEE Int Conf Comput Vis, pp 618–626 Tran TA, Na IS, Kim SH (2016) Page segmentation using minimum homogeneity algorithm and adaptive mathematical morphology. Int J Doc Anal Recognit (IJDAR) 19(3):191–209 Tran TA, Na IS, Kim SH (2017) A robust system for document layout analysis using multilevel homogeneity structure. Expert Syst Appl 85:99–113 Tran DN, Tran TA, Oh A, Kim SH, Na IS (2005) Table detection from document image using vertical arrangement of text blocks. Int J Contents 11(4):77–85 Wang Q, Min W, He D, Zou S, Huang T, Zhang Y, Liu R (2020) Discriminative fine-grained network for vehicle re-identification using two-stage re-ranking. Sci China Inf Sci. https://doi.org/10.1007/385s11432-019-2811-8 Wong K, Casey R, Wahl F (1982) Document analysis systems. IBM J Res Dev 26(6):647–656 Yang J, Kim H, Kwak H, Kim I (2019) HanFont: large-scale adaptive Hangul font recognizer using CNN and font clustering. Int J Document Anal Recognit (IJDAR) 22:407–416 Yi X, Gao L, Liao Y, Zhang X, Liu R, Jiang Z (2017) CNN based page object detection in document images. In: Proc Int Conf Document Anal Recognit (ICDAR), Kyoto, Japan, pp 230–235 Yu F, Koltun V (2016) Multi-scale context aggregation by dilated convolutions. In: Proc Int Conf Learn Representations Zhang X, Zhou X, Lin M, Sun J (2018) ShuffleNet: An extremely efficient convolutional neural network for mobile devices. In: Proc Conf Computer Vision and Pattern Recognition (CVPR), Salt Lake, pp 6848–6856