Papers Document Image Classification
“Document Image Classification” 태그가 달린 논문 52편 · 필터 해제
Self-Supervised Representation Learning on Document Images
This work analyses the impact of self-supervised pre-training on document images in the context of document image classification. While previous approaches explore the effect of self-supervision on natural images, we sho…
Classificationdocument-image-classificationDocument Image ClassificationGeneral Classification+3Light-Weighted CNN for Text Classification
For management, documents are categorized into a specific category, and to do these, most of the organizations use manual labor. In today's automation era, manual efforts on such a task are not justified, and to avoid th…
ClassificationDocument ClassificationDocument Image ClassificationDocument Text Classification+5LayoutLM: Pre-training of Text and Layout for Document Image Understanding
Pre-training techniques have been verified successfully in a variety of NLP tasks in recent years. Despite the widespread use of pre-training models for NLP applications, they almost exclusively focus on text-level manip…
Document AIdocument-image-classificationDocument Image ClassificationDocument Layout Analysis+4PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters
Due to the sparsity of features, noise has proven to be a great inhibitor in the classification of handwritten characters. To combat this, most techniques perform denoising of the data before classification. In this pape…
ClassificationDenoisingDocument Image ClassificationGeneral Classification+2RoBERTa: A Robustly Optimized BERT Pretraining Approach
Language model pretraining has led to significant performance gains but careful comparison between different approaches is challenging. Training is computationally expensive, often done on private datasets of different s…
Common Sense ReasoningDocument Image ClassificationLanguage ModelingLanguage Modelling+14Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters
Classification techniques for images of handwritten characters are susceptible to noise. Quadtrees can be an efficient representation for learning from sparse features. In this paper, we improve the effectiveness of prob…
ClassificationDocument Image ClassificationGeneral ClassificationImage ClassificationDocument Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks
In this work, a region-based Deep Convolutional Neural Network framework is proposed for document structure learning. The contribution of this work involves efficient training of region based classifiers and effective en…
document-image-classificationDocument Image ClassificationGeneral Classificationimage-classification+2Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines
This paper presents an approach for real-time training and testing for document image classification. In production environments, it is crucial to perform accurate and (time-)efficient training. Existing deep learning ap…
ClassificationDeep LearningDocument Classificationdocument-image-classification+4Analysis of Convolutional Neural Networks for Document Image Classification
Convolutional Neural Networks (CNNs) are state-of-the-art models for document image classification tasks. However, many of these approaches rely on parameters and architectures designed for classifying natural images, wh…
ClassificationData Augmentationdocument-image-classificationDocument Image Classification+3Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification
We present an exhaustive investigation of recent Deep Learning architectures, algorithms, and strategies for the task of document image classification to finally reduce the error by more than half. Existing approaches, s…
document-image-classificationDocument Image ClassificationGeneral Classificationimage-classification+3Document image classification, with a specific view on applications of patent images
The main focus of this paper is document image classification and retrieval, where we analyze and compare different parameters for the RunLeght Histogram (RL) and Fisher Vector (FV) based image representations. We do an …
document-image-classificationDocument Image ClassificationGeneral Classificationimage-classification+2Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval
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 …
Descriptivedocument-image-classificationDocument Image ClassificationGeneral Classification+3