Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Sukalpa Chanda"'
Publikováno v:
International Journal on Document Analysis and Recognition (IJDAR). 26:51-63
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. :1-11
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031024436
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53efdc0e3d336e6329f535428ad647df
https://doi.org/10.1007/978-3-031-02444-3_15
https://doi.org/10.1007/978-3-031-02444-3_15
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031023743
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43aa8246a6b61f17f250f7662009057d
https://doi.org/10.1007/978-3-031-02375-0_6
https://doi.org/10.1007/978-3-031-02375-0_6
Publikováno v:
Frontiers in Handwriting Recognition ISBN: 9783031216473
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::092ac57b18ec7ed60c9597ca6719c378
https://doi.org/10.1007/978-3-031-21648-0_35
https://doi.org/10.1007/978-3-031-21648-0_35
Autor:
Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Havard Johansen, Dag Johansen, Michael Riegler, Sharib Ali, Pal Halvorsen
Publikováno v:
IEEE journal of biomedical and health informatics
Methods based on convolutional neural networks have improved the performance of biomedical image segmentation. However, most of these methods cannot efficiently segment objects of variable sizes and train on small and biased datasets, which are commo
Autor:
Prashant Kumar Prasad, Lambert Schomaker, Sukalpa Chanda, Jochem Baas, Umapada Pal, Daniel Haitink
Publikováno v:
ICPR
2020 25th International Conference on Pattern Recognition (ICPR), 5603-5610
STARTPAGE=5603;ENDPAGE=5610;TITLE=2020 25th International Conference on Pattern Recognition (ICPR)
2020 25th International Conference on Pattern Recognition (ICPR), 5603-5610
STARTPAGE=5603;ENDPAGE=5610;TITLE=2020 25th International Conference on Pattern Recognition (ICPR)
Zero-Shot Learning(ZSL) techniques could classify a completely unseen class, which it has never seen before during training. Thus, making it more apt for any real-life classification problem, where it is not possible to train a system with annotated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b922f762683e6daf195516517995f23f
https://research.rug.nl/en/publications/ebe46243-96dd-4527-9239-be777d956b42
https://research.rug.nl/en/publications/ebe46243-96dd-4527-9239-be777d956b42
Autor:
Michael Blumenstein, Umapada Pal, Nitish Surana, Tanmay Jain, Tong Lu, Palaiahnakote Shivakumara, Sukalpa Chanda
Publikováno v:
Document Analysis and Recognition – ICDAR 2021 Workshops ISBN: 9783030861582
ICDAR Workshops (2)
ICDAR Workshops (2)
Due to the presence of struck-out handwritten words in document images, the performance of different methods degrades for several important applications, such as handwriting recognition, writer, gender, fraudulent document identification, document ag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa2b7426a4dccd2f953664653e0943eb
https://hdl.handle.net/10453/158404
https://hdl.handle.net/10453/158404
Autor:
Palaiahnakote Shivakumara, Sukalpa Chanda, Umapada Pal, Ramachandra Raghavendra, Tamal Chowdhury, Tong Lu
Publikováno v:
Document Analysis and Recognition – ICDAR 2021 ISBN: 9783030863302
ICDAR (2)
ICDAR (2)
Identifying Tattoo is an integral part of forensic investigation and crime identification. Tattoo text detection is challenging because of its freestyle handwriting over the skin region with a variety of decorations. This paper introduces Deformable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae800eda93a0ddcd273360cfdf0bd8fd
https://doi.org/10.1007/978-3-030-86331-9_22
https://doi.org/10.1007/978-3-030-86331-9_22
Publikováno v:
Document Analysis and Recognition – ICDAR 2021 ISBN: 9783030865481
ICDAR (1)
ICDAR (1)
Annotating words in a historical document image archive for word image recognition purpose demands time and skilled human resource (like historians, paleographers). In a real-life scenario, obtaining sample images for all possible words is also not f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fceec7e2e0fe44932457a66147d915ad
https://doi.org/10.1007/978-3-030-86549-8_2
https://doi.org/10.1007/978-3-030-86549-8_2