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researcher

Hiroto Nagayoshi

3 papers hereh-index 8142 citations22 works total

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

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.SP1

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedCrack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors

5 citations · 5 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2022

Weakly-Supervised Crack Detection

Yuki Inoue, Hiroto Nagayoshi

Pixel-level crack segmentation is widely studied due to its high impact on building and road inspections. While recent studies have made significant improvements in accuracy, they…

cs.CV2020★ 5 cited

Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors

Yuki Inoue, Hiroto Nagayoshi

Automatic crack detection is a critical task that has the potential to drastically reduce labor-intensive building and road inspections currently being done manually. Recent studie…

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