Codesota · Computer Vision · Video-to-Video · DAVISTasks/Computer Vision/Video-to-Video
Video-to-Video · benchmark dataset · 2016 · EN

DAVIS.

Video editing and object segmentation benchmark

Submit a result ↵
§ 01 · Leaderboard

Best published scores.

2 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.

Primary
j-and-f · higher is better
j-f
2 rows
#ModelOrgSubmittedPaper / codej-f
01DINOv3 (7B)—Aug 2025DINOv3 · code83.30
02DINO (ViT-B/8)—Apr 2021Emerging Properties in Self-Supervised Vision Transforme… · code71.40
Fig 2 · Rows sorted by score within each metric. Shaded row marks SOTA. Dates reflect model or paper release where available, otherwise the date Codesota accessed the source.
§ 04 · Literature

2 papers
tied to this benchmark.

Every paper below corresponds to at least one row in the leaderboard above. Click through for the arXiv preprint and, when available, the reference implementation.

§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result ↵Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies
DAVIS — Video-to-Video | CodeSOTA