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researcher

Kodai Nakashima

5 papers hereh-index 6228 citations14 works total

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

author position
  • first author1
  • middle author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV5

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedSegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning

1 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.CV2023★ 1 cited

SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning

Risa Shinoda, Ryo Hayamizu, Kodai Nakashima +3

Pre-training is a strong strategy for enhancing visual models to efficiently train them with a limited number of labeled images. In semantic segmentation, creating annotation masks…

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