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Keypoint Detection archive 2025-07-28

COCO Benchmark (Keypoint Detection)

2 rows 2 with code listed 2 metrics

Keypoint Detection is essential for analyzing and interpreting images in computer vision. It involves simultaneously detecting and localizing interesting points in an image. Keypoints, also known as interest points, are spatial locations or points in the image that define what is interesting or what stands out. They are invariant to image rotation, shrinkage, translation, distortion, etc. Keypoints examples are body joints, facial landmarks, or any other salient points in objects. Keypoints have uses in problems such as pose estimation, object detection and tracking, facial analysis, and augmented reality.

The archive carries no text for this table; the description above is the archive's text for the task Keypoint Detection. archive 2025-07-28

Over time archive 2025-07-28

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Direction inferred from the metric name, not from the archive: Validation AP (higher is better), Test AP (higher is better). Points are placed at the row's paper date; 2 of 2 rows carry one.

Results archive 2025-07-28

Archive rows end at the archive snapshot, 2025-07-28: no result published after that date is in this table. Rank is the archive's row order at that snapshot; not re-ranked here. Metric values are the archive's strings. Column headers sort the table in your browser; each row keeps its archive rank.

Paper Code Ran Syntology Report
1 Mask R-CNN 69.263.1 – Paper Code 2017 42 of 140 ran · 98 unverified report
2 Part Affinity Fields 60.5 – Paper Code 2016 4 of 23 ran · 19 unverified report

All 2 rows shown. 2 link to a paper page on this site; 0 are marked as using additional training data in the archive. No GitHub stars are tracked; "Code" is the first repository the archive lists for the row. The archive carries no row tags, review links or community-submitted rows for this table; none are shown. archive 2025-07-28

Syntology Ran reads "N of M ran · U unverified": of the M code samples Syntology harvested from repositories linked to that row's paper (joined by arXiv id), N executed on a synthesized input and the other U = M−N are unverified (harvested, no recorded run). It counts code from repositories linked to that row's paper, not this result: the row's number was not reproduced and nothing here is a correctness claim. The other cell texts mean no graph line for the row: "linked, not harvested" (the archive links code, Syntology has not harvested it), "no code linked" (no code link in the archive), "not matched" (the row's paper URL matched no paper on this site). 2 rows have a graph line, from 2 distinct papers; 2 rows (2 papers) have at least one sample that ran. Counting each paper once: Syntology ran 46 of 163 samples; 117 unverified. Separately, 27 of those 163 are pointer-only (licence): the site points at that code rather than redistributing it, a licence property recorded for ran and unverified samples alike; each cell's tooltip carries the row's own pointer-only count. Read from the graph 2026-09-24. Per-sample status is on the paper page.

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