2023-10-01 · conference-paper · Advanced Neural Network Applications · en
highly citedClaims drawn from cited facts, not live model generation.
This paper, a conference paper addressing advanced neural network applications, presents a general-purpose segmentation framework. Because it is a conference paper, it has passed formal peer review and should be regarded as more authoritative than a preprint.
3 cited facts
This work is the product of a small team of three researchers.
1 cited fact
With 10,035 citations, this work has already become an established reference point in its field. It references 77 works.
3 cited facts
Segment Anything is a conference-paper, focusing on Advanced Neural Network Applications, published in 2023.
Segment Anything has 10,035 citations in our record, placing it among the highly cited works we track.
Our record lists 3 authors for Segment Anything and references 77 other works. Author names aren't in our data yet — the source link on the page lists the full byline.
Source facts, citations, and refresh stamp for this record.
Sources: openalex_works