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Author |
Minesh Mathew; Ruben Tito; Dimosthenis Karatzas; R.Manmatha; C.V. Jawahar |
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Title |
Document Visual Question Answering Challenge 2020 |
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2020 |
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33rd IEEE Conference on Computer Vision and Pattern Recognition – Short paper |
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This paper presents results of Document Visual Question Answering Challenge organized as part of “Text and Documents in the Deep Learning Era” workshop, in CVPR 2020. The challenge introduces a new problem – Visual Question Answering on document images. The challenge comprised two tasks. The first task concerns with asking questions on a single document image. On the other hand, the second task is set as a retrieval task where the question is posed over a collection of images. For the task 1 a new dataset is introduced comprising 50,000 questions-answer(s) pairs defined over 12,767 document images. For task 2 another dataset has been created comprising 20 questions over 14,362 document images which share the same document template. |
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CVPR |
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DAG; 600.121 |
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Admin @ si @ MTK2020 |
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3558 |
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Arka Ujjal Dey; Suman Ghosh; Ernest Valveny |
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Don't only Feel Read: Using Scene text to understand advertisements |
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2018 |
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IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops |
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We propose a framework for automated classification of Advertisement Images, using not just Visual features but also Textual cues extracted from embedded text. Our approach takes inspiration from the assumption that Ad images contain meaningful textual content, that can provide discriminative semantic interpretetion, and can thus aid in classifcation tasks. To this end, we develop a framework using off-the-shelf components, and demonstrate the effectiveness of Textual cues in semantic Classfication tasks. |
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Salt Lake City; Utah; USA; June 2018 |
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CVPRW |
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DAG; 600.121; 600.129 |
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Admin @ si @ DGV2018 |
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3551 |
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Dena Bazazian; Dimosthenis Karatzas; Andrew Bagdanov |
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Title |
Word Spotting in Scene Images based on Character Recognition |
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2018 |
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IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops |
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1872-1874 |
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In this paper we address the problem of unconstrained Word Spotting in scene images. We train a Fully Convolutional Network to produce heatmaps of all the character classes. Then, we employ the Text Proposals approach and, via a rectangle classifier, detect the most likely rectangle for each query word based on the character attribute maps. We evaluate the proposed method on ICDAR2015 and show that it is capable of identifying and recognizing query words in natural scene images. |
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Salt Lake City; USA; June 2018 |
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DAG; 600.129; 600.121 |
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BKB2018a |
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3179 |
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Partha Pratim Roy; Umapada Pal; Josep Llados |
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Title |
Multi-oriented English Text Line Extraction using Background and Foreground Information |
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2008 |
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Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, |
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315–322 |
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Nara (Japo) |
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DAG @ dag @ RPL2008b |
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1047 |
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Author |
Marçal Rusiñol; Josep Llados |
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Title |
Word and Symbol Spotting using Spatial Organization of Local Descriptors |
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2008 |
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Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, |
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489–496 |
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Nara (Japan) |
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DAG |
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DAG @ dag @ RuL2008b |
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1059 |
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Mathieu Nicolas Delalandre; Ernest Valveny; Josep Llados |
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Title |
Performance Evaluation of Symbol Recognition and Spotting Systems |
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2008 |
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Proceedings of the 8th International Workshop on Document Analysis Systems, |
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497–505 |
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Nara (Japan) |
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DAG |
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DAG @ dag @ DVL2008b |
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1060 |
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Author |
Joan Mas; Jose Antonio Rodriguez; Dimosthenis Karatzas; Gemma Sanchez; Josep Llados |
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Title |
HistoSketch: A Semi-Automatic Annotation Tool for Archival Documents |
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2008 |
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Proceedings of the 8th International Workshop on Document Analysis Systems, |
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517–524 |
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Nara (Japan) |
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DAG |
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DAG @ dag @ MRK2008a |
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1061 |
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Author |
Dimosthenis Karatzas |
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Title |
Detecting Gradients in Text Images Using the Hough Transform |
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2008 |
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Proceedings of the 8th International Workshop on Document Analysis Systems, |
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245–252 |
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Nara (Japan) |
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DAG @ dag @ Kar2008 |
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1062 |
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Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
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Title |
Writer Identification in Old Handwritten Music Scores |
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2008 |
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Proceedings of the 8th International Workshop on Document Analysis Systems, |
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347–353 |
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Nara (Japan) |
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DAG @ dag @ FLS2008b |
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1078 |
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Albert Gordo; Alicia Fornes; Ernest Valveny; Josep Llados |
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Title |
A Bag of Notes Approach to Writer Identification in Old Handwritten Music Scores |
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2010 |
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9th IAPR International Workshop on Document Analysis Systems |
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247–254 |
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Determining the authorship of a document, namely writer identification, can be an important source of information for document categorization. Contrary to text documents, the identification of the writer of graphical documents is still a challenge. In this paper we present a robust approach for writer identification in a particular kind of graphical documents, old music scores. This approach adapts the bag of visual terms method for coping with graphic documents. The identification is performed only using the graphical music notation. For this purpose, we generate a graphic vocabulary without recognizing any music symbols, and consequently, avoiding the difficulties in the recognition of hand-drawn symbols in old and degraded documents. The proposed method has been tested on a database of old music scores from the 17th to 19th centuries, achieving very high identification rates. |
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Boston; USA; |
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978-1-60558-773-8 |
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DAG @ dag @ GFV2010 |
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1320 |
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