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researcher

Zoe Moorton

2 papers hereh-index 223 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedIs the use of Deep Learning and Artificial Intelligence an appropriate means to locate debris in the ocean without harming aquatic wildlife?

28 citations · 29 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024★ 1 cited

State of the art applications of deep learning within tracking and detecting marine debris: A survey

Zoe Moorton, Zeyneb Kurt, Wai Lok Woo

Deep learning techniques have been explored within the marine litter problem for approximately 20 years but the majority of the research has developed rapidly in the last five year…

cs.LG2021★ 28 cited

Is the use of Deep Learning and Artificial Intelligence an appropriate means to locate debris in the ocean without harming aquatic wildlife?

Zoe Moorton, Zeyneb Kurt, Wai Lok Woo

With the global issue of plastic debris ever expanding, it is about time that the technology industry stepped in. This study aims to assess whether deep learning can successfully d…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.