Multi-Scale Approach for Document Detection Based on the Cascade mask RCNN

Author:

Tang Jiashan1,Lu Tongwei1,Wei Jixin1

Affiliation:

1. Hubei Key Laboratory of Intelligent Robot,School of Computer ScienceampEngineering, Wuhan Institute of Technology, China

Funder

Department of Education of Hubei Province of China

Department of Science and Technology of Hubei Province of China

Publisher

ACM

Reference20 articles.

1. A trainable, Single -pass Algorithm for Column Segmentation[C]//The 3rd International Conference on Document Analysis and Recognition . Montreal, Canada , 1995 : 615-618. GAO L C, YI X H, JIANG Z R, ICDAR2017 A trainable, Single-pass Algorithm for Column Segmentation[C]//The 3rd International Conference on Document Analysis and Recognition. Montreal, Canada, 1995:615-618. GAO L C, YI X H, JIANG Z R, ICDAR2017

2. Zhaowei Cai and Nuno Vasconcelos. Cascade R-CNN: high quality object detection and instance segmentation. CoRR,abs/1906.09756 , 2019 Zhaowei Cai and Nuno Vasconcelos. Cascade R-CNN: high quality object detection and instance segmentation. CoRR,abs/1906.09756, 2019

3. Sylwester D , Seth S. A trainable, Single -pass Algorithm for Column Segmentation[C]//The 3rd International Conference on Document Analysis and Recognition . Montreal, Canada , 1995 : 615 - 618 . Sylwester D, Seth S. A trainable, Single-pass Algorithm for Column Segmentation[C]//The 3rd International Conference on Document Analysis and Recognition. Montreal, Canada, 1995:615-618.

4. Syntactic segmentation and labeling of digitized pages from technical journals

5. Bukhari S S , Shafait F , Breuel T M . High Performance Layout Analysis of Arabic and Urdu Document Images[C]// International Conference on Document Analysis & Recognition . IEEE, 2011. Liu X , Zhang S , Huang Q , RAM: A Region-Aware Deep Model for Vehicle Re-Identification[C]// 2018 IEEE International Conference on Multimedia and Expo (ICME). IEEE , 2018 . Bukhari S S , Shafait F , Breuel T M . High Performance Layout Analysis of Arabic and Urdu Document Images[C]// International Conference on Document Analysis & Recognition. IEEE, 2011. Liu X , Zhang S , Huang Q , RAM: A Region-Aware Deep Model for Vehicle Re-Identification[C]// 2018 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2018.

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1. BFIDet: A YOLOv7-improved Vehicle and Pedestrian Detector via Balancing Feature Integration;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30

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