This paper presents a new state-of-the-art for document image classification and retrieval, using features learned by deep convolutional neural networks (CNNs). In object and scene analysis, deep neural nets are capable of learning a hierarchical chain of abstraction from pixel inputs to concise and descriptive representations. The current work explores this capacity in the realm of document analysis, and confirms that this representation strategy is superior to a variety of popular hand-crafted alternatives. Experiments also show that (i) features extracted from CNNs are robust to compression, (ii) CNNs trained on non-document images transfer well to document analysis tasks, and (iii) enforcing region-specific feature-learning is unnecessary given sufficient training data. This work also makes available a new labelled subset of the IIT-CDIP collection, containing 400,000 document images across 16 categories, useful for training new CNNs for document analysis.
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents
Friedrich-Alexander-Universität Erlangen-Nürnberg（埃尔朗根-纽伦堡弗里德里希-亚历山大大学）；Institut de Recherche et d’Histoire des Textes（文本研究与历史研究所）；Centre National de la Recherche Scientifique（法国国家科学研究中心）
MIRACL-VISION: A Large, multilingual, visual document retrieval benchmark
The Thørväld Group（Thørväld集团）；Inria Paris-Rocquencourt（巴黎-罗克琴库尔Inria）；Rajiv Gandhi University Doimukh（拉朱·甘地大学多伊穆克）；Tsinghua University（清华大学）；Palmer Research Laboratories（Palmer研究实验室）；The Kumquat Consortium（Kumquat联盟）
3D-2D Neural Nets for Phase Retrieval in Noisy Interferometric Imaging
Joint Center for Extreme Photonics, University of Ottawa and National Research Council of Canada（渥太华大学与加拿大国家研究委员会极端光子学联合中心）；National Research Council of Canada（加拿大国家研究委员会）；University of Ottawa（渥太华大学）
Document Retrieval-Aware Chunking (D-RAC): Universal Retrieval-Aware Ingestion of Enterprise Documents via PDF Normalization and Multimodal Markdown Conversion
Bag-of-Visual-Words for Signature-Based Multi-Script Document Retrieval
Indian Institute of Technology, Roorkee（印度理工学院鲁尔基分校）；Indian Statistical Institute（印度统计研究所）；University of Technology Sydney（悉尼科技大学）；Griffith University（格里菲斯大学）
