2023-04-14 · preprint · Multimodal Machine Learning Applications · en
highly citedClaims drawn from cited facts, not live model generation.
This paper is a preprint focused on a topic within multimodal machine learning applications. Since this work is a preprint, it has not yet passed through formal peer review and should be regarded as preliminary.
4 cited facts
This work was produced by a small team of three researchers.
1 cited fact
This work has been cited 1,065 times, an exact count that places it as an already established reference point in its field, and it builds on 131 references.
3 cited facts
DINOv2: Learning Robust Visual Features without Supervision is a preprint, focusing on Multimodal Machine Learning Applications, published in 2023.
DINOv2: Learning Robust Visual Features without Supervision has 1,065 citations in our record, placing it among the highly cited works we track.
Our record lists 3 authors for DINOv2: Learning Robust Visual Features without Supervision and references 131 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