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Jacquomo Monk

2 papers here

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

author position
  • middle author2

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

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedDetecting Endangered Marine Species in Autonomous Underwater Vehicle Imagery Using Point Annotations and Few-Shot Learning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2024★ 2 cited

Detecting Endangered Marine Species in Autonomous Underwater Vehicle Imagery Using Point Annotations and Few-Shot Learning

Heather Doig, Oscar Pizarro, Jacquomo Monk +1

One use of Autonomous Underwater Vehicles (AUVs) is the monitoring of habitats associated with threatened, endangered and protected marine species, such as the handfish of Tasmania…

cs.CV2024

BenthicNet: A global compilation of seafloor images for deep learning applications

Scott C. Lowe, Benjamin Misiuk, Isaac Xu +26

Advances in underwater imaging enable collection of extensive seafloor image datasets necessary for monitoring important benthic ecosystems. The ability to collect seafloor imagery…

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