Art Graffiti Detection in Urban Images Using Deep Learning

Author:

Bomfim Tacio Souza,Nunes Éldman de Oliveira,Sánchez Ángel

Publisher

Springer International Publishing

Reference18 articles.

1. Alfarrarjeh, A., Trivedi, D., Kim, S.H., Park, H., Huang, C., Shahabi, C.: Recognizing material of a covered object: a case study with graffiti. In: 2019 IEEE International Conference on Image Processing (ICIP), pp. 2491–2495 (2019)

2. Bochkovskiy, A., Wang, C.-Y., Liao, H.-y.: Yolov4: optimal speed and accuracy of object detection (2020)

3. Collins, A.: Graffiti: Vandalism or Art? Greenhaven Publishing LLC (2017)

4. Forte, F., Paola, D.: Pierfrancesco: how can street art have economic value? Sustainability 11(3), 580 (2019)

5. Gómez, M.A.: The writing on our walls: finding solutions through distinguishing graffiti art from graffiti vandalism. U. Mich. JL Reform 26, 633 (1992)

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