Comparing Different Deep Learning Architectures as Vision-based Multi-Label Classifiers for Identification of Multiple Distresses on Asphalt Pavement

Aline  Espindola; Mujib Rahman; Senthan   Mathavan

Comparing Different Deep Learning Architectures as Vision-based Multi-Label Classifiers for Identification of Multiple Distresses on Asphalt Pavement

Aline Espindola, Mujib Rahman, Senthan Mathavan

Research output: Unpublished contribution to conference › Abstract › peer-review

Original language	English
Publication status	Published - 9 Jan 2022
Event	101st Annual Meeting of the Transportation Research Board - Washington, D.C., United States Duration: 9 Jan 2022 → 13 Jan 2022 https://www.nationalacademies.org/event/01-09-2022/trb-annual-meeting

Conference

Conference	101st Annual Meeting of the Transportation Research Board
Abbreviated title	TRB 2022
Country/Territory	United States
City	Washington, D.C.
Period	9/01/22 → 13/01/22
Internet address	https://www.nationalacademies.org/event/01-09-2022/trb-annual-meeting

1 Article

Comparing Different Deep Learning Architectures as Vision-Based Multi-Label Classifiers for Identification of Multiple Distresses on Asphalt Pavement
Espindola, A. C., Rahman, M., Mathavan, S. & Júnior, E. F. N., May 2023, In: Transportation Research Record: Journal of the Transportation Research Board. 2677, 5, p. 24-39 16 p.
Research output: Contribution to journal › Article › peer-review

Cite this

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title = "Comparing Different Deep Learning Architectures as Vision-based Multi-Label Classifiers for Identification of Multiple Distresses on Asphalt Pavement",

author = "Aline Espindola and Mujib Rahman and Senthan Mathavan",

year = "2022",

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language = "English",

note = "101st Annual Meeting of the Transportation Research Board, TRB 2022 ; Conference date: 09-01-2022 Through 13-01-2022",

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Comparing Different Deep Learning Architectures as Vision-based Multi-Label Classifiers for Identification of Multiple Distresses on Asphalt Pavement. / Espindola, Aline; Rahman, Mujib; Mathavan, Senthan .
2022. Abstract from 101st Annual Meeting of the Transportation Research Board, Washington, D.C., United States.

Research output: Unpublished contribution to conference › Abstract › peer-review

TY - CONF

T1 - Comparing Different Deep Learning Architectures as Vision-based Multi-Label Classifiers for Identification of Multiple Distresses on Asphalt Pavement

AU - Espindola, Aline

AU - Rahman, Mujib

AU - Mathavan, Senthan

PY - 2022/1/9

Y1 - 2022/1/9

M3 - Abstract

T2 - 101st Annual Meeting of the Transportation Research Board

Y2 - 9 January 2022 through 13 January 2022

ER -

Comparing Different Deep Learning Architectures as Vision-based Multi-Label Classifiers for Identification of Multiple Distresses on Asphalt Pavement

Conference

Research output

Comparing Different Deep Learning Architectures as Vision-Based Multi-Label Classifiers for Identification of Multiple Distresses on Asphalt Pavement

Cite this