Browse › Multi-label Image Recognition with Partial Labels › PASCAL VOC 2007
PASCAL VOC 2007 Benchmark (Multi-label Image Recognition with Partial Labels)
The archive's category list for this table covers 9 areas (Adversarial, Audio, Computer Code, Computer Vision, Graphs, Medical, Methodology, Music, Playing Games), which is its placeholder rather than an assignment; no area is shown in the breadcrumb. archive 2025-07-28
Multi-label image recognition with partial labels (MLR-PL), in which some labels are known while others are unknown for each multi-label image, aims to train MLR models with partial labels to reduce the annotation cost. Since existing MLR datasets have complete labels, current works propose to randomly drop a certain proportion of positive and negative labels to create partially annotated datasets, and report the results on the known labels proportion of 10% to 90%.
The archive carries no text for this table; the description above is the archive's text for the task Multi-label Image Recognition with Partial Labels. archive 2025-07-28
Over time archive 2025-07-28
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Direction inferred from the metric name, not from the archive: Average mAP (higher is better). Points are placed at the row's paper date; 6 of 6 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 | DualCoOp+TaI-DPT | 94.8 | – | Paper | Code | 2022 | linked, not harvested | report |
| 2 | DualCoOp | 93.2 | – | Paper | Code | 2022 | linked, not harvested | report |
| 3 | DSRB | 91.5 | – | Paper | Code | 2022 | linked, not harvested | report |
| 4 | HST | 90.9 | – | Paper | Code | 2022 | linked, not harvested | report |
| 5 | SARB | 90.7 | – | Paper | Code | 2022 | 6 of 7 ran · 1 unverified | report |
| 6 | SST | 90.4 | – | Paper | Code | 2021 | linked, not harvested | report |
All 6 rows shown. 6 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). 1 rows have a graph line, from 1 distinct papers; 1 rows (1 papers) have at least one sample that ran. Counting each paper once: Syntology ran 6 of 7 samples; 1 unverified. Separately, 7 of those 7 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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