Showing 1 - 20 results of 265 for search '((((entity recognition) OR (object recognition))) OR (text recognition))', query time: 0.17s Refine Results
  1. 1

    Deep learning-based text augmentation for named entity recognition by Surana, Tanmay

    Published 2023
    “…This thesis is focused on the development of an effective text augmentation method for Named Entity Recognition (NER) in the low-resource setting. …”
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    Thesis-Master by Research
  2. 2

    Keyword and named entity recognition on emergency call texts by Hu, Wanyu

    Published 2020
    “…This report utilize one of the methods of Artificial Intelligence (AI), specifically the Named Entity Recognition (NER) technique on Emergency Call Texts. …”
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    Final Year Project (FYP)
  3. 3

    Keyword and named entity recognition on air traffic control text by Tay, Nikole Qiwei

    Published 2020
    “…A demo website which allows the input of ATC text features the working application of NER by returning the highlighted and annotated name entities.…”
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    Final Year Project (FYP)
  4. 4

    Generalized AutoNLP model for name entity recognition task by Wong, Yung Shen

    Published 2022
    “…Experiments are conducted to study the performance of our proposed architecture with BERT word embeddings on AutoNLP name entity recognition tasks.…”
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    Final Year Project (FYP)
  5. 5

    Keyword and named entity recognition on air traffic control (ATC) data by Thia, Jeremy Ming Xuan

    Published 2019
    “…This project will explore several NLP tasks to perform named entity recognition on Air Traffic Control data, to be specific Air Traffic conversations. …”
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    Final Year Project (FYP)
  6. 6
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    Active learning for ontological event extraction incorporating named entity recognition and unknown word handling by Han, Xu, Kim, Jung-jae, Kwoh, Chee Keong

    Published 2016
    “…In addition, the adaptation of the active learning method into named entity recognition tasks also improves the document selection for manual annotation of named entities.…”
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    Journal Article
  8. 8
  9. 9

    Scene text recognition by Muhammad Afiq Osman

    Published 2019
    “…Scene text recognition problem has recently seen interest within the deep learning community. …”
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    Final Year Project (FYP)
  10. 10

    Dataset issues in object recognition by Ponce, J, Berg, TL, Everingham, M, Forsyth, DA, Hebert, M, Lazebnik, S, Marszalek, M, Schmid, C, Russell, BC, Torralba, A, Williams, CKI, Zhang, J, Zisserman, A

    Published 2007
    “…Appropriate datasets are required at all stages of object recognition research, including learning visual models of object and scene categories, detecting and localizing instances of these models in images, and evaluating the performance of recognition algorithms. …”
    Conference item
  11. 11

    Text recognition from images mobile application by Phua, Melvin

    Published 2020
    “…Recognizing text from images with computers has been made possible through the advancement of Computer Vision or a more specific term relevant to this project, OCR (Optical Character Recognition). …”
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    Final Year Project (FYP)
  12. 12

    Canonical frames for planar object recognition by Rothwell, CA, Zisserman, A, Forsyth, DA, Mundy, JL

    Published 1992
    “…Recognition is of partially occluded objects in cluttered scenes. …”
    Conference item
  13. 13
  14. 14

    Deep structured output learning for unconstrained text recognition by Jaderberg, M, Simonyan, K, Vedaldi, A, Zisserman, A

    Published 2014
    “…The resulting model is a more accurate system on standard real-world text recognition benchmarks than character prediction alone, setting a benchmark for systems that have not been trained on a particular lexicon. …”
    Internet publication
  15. 15
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    Object recognition using deep learning features by Zhu, Daiqing

    Published 2015
    “…Many algorithms are available for automatic recognition of many different object categories. However, previous algorithms need to train classifier to rank proposal and learn from object class recognition datasets. …”
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    Final Year Project (FYP)
  17. 17

    3D object recognition using invariance by Zisserman, A, Forsyth, D, Mundy, J, Rothwell, C, Liu, J, Pillow, N

    Published 1995
    “…<p>The systems and concepts described in this paper document the evolution of the geometric invariance approach to object recognition over the last five years. Invariance overcomes one of the fundamental difficulties in recognising objects from images: that the appearance of an object depends on viewpoint. …”
    Journal article
  18. 18

    ViObject: Harness Passive Vibrations for Daily Object Recognition with Commodity Smartwatches by Chen, Wenqiang, Lin, Shupei, Peng, Zhencan, Parizi, Farshid Salemi, Heo, Seongkook, Patel, Shwetak, Matusik, Wojciech, Zhao, Wei, Stankovic, John

    Published 2024
    “…This paper presents a novel system, ViObject, for passive object recognition that uses accelerometer and gyroscope sensor data from commodity smartwatches to identify untagged everyday objects. …”
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    Article
  19. 19

    Training deep network models for accurate recognition of texts in scenes by Chen, Cheng

    Published 2021
    “…Scene Text Recognition is an important task because of its many potential applications in the industries. …”
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    Final Year Project (FYP)
  20. 20

    Video Google: a text retrieval approach to object matching in videos by Sivic, J, Zisserman, A

    Published 2003
    “…The object is represented by a set of viewpoint invariant region descriptors so that recognition can proceed successfully despite changes in viewpoint, illumination and partial occlusion. …”
    Conference item