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Weakly-supervised Video Anomaly Detection archive 2025-07-28

ShanghaiTech Weakly Supervised Benchmark (Weakly-supervised Video Anomaly Detection)

16 rows 13 with code listed 2 metrics Dataset page

Weakly-supervised Video Anomaly Detection (WS-VAD) refers to identifying unusual or anomalous behaviors within video sequences using models trained primarily on video-level labels, without explicit frame-level annotations. Unlike fully-supervised methods, weakly-supervised approaches significantly reduce annotation costs by leveraging coarse labels (e.g., videos labeled as normal or anomalous). The primary challenge of this task is accurately localizing temporal anomalies and effectively distinguishing subtle anomalous activities from normal background events, relying only on limited supervision signals.

The archive carries no text for this table; the description above is the archive's text for the task Weakly-supervised Video Anomaly 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: AUC-ROC (higher is better). Not inferred (points only, no best-so-far line): FAR-Normal. Points are placed at the row's paper date; 16 of 16 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 DDRO 97.910.04 – Paper Code 2025 linked, not harvested report
2 DDRO (SSALA) 97.860.03 – Paper Code 2025 linked, not harvested report
3 STPrompt 97.81 – Paper – 2024 no code linked report
4 CLAV-CoMo 97.59 – Paper – 2023 no code linked report
5 DMU 97.57 – Paper Code 2023 7 of 7 ran · 0 unverified report
6 RTFM-BERT 97.54 – Paper Code 2022 linked, not harvested report
7 VadCLIP 97.49 – Paper Code 2023 4 of 5 ran · 1 unverified report
8 S3R 97.48 – Paper Code 2022 linked, not harvested report
9 RTFM 97.211.06 – Paper Code 2021 4 of 5 ran · 1 unverified report
10 OPVAD 96.98 – Paper – 2023 no code linked report
11 UML 96.78 – Paper Code 2023 2 of 2 ran · 0 unverified report
12 OCC-WS 96.33 – Paper Code 2024 0 of 1 ran · 1 unverified report
13 BN-SVP 96.00 – Paper Code 2022 1 of 1 ran · 0 unverified report
14 MIST 94.830.05 – Paper Code 2021 1 of 1 ran · 0 unverified report
15 AR-Net 91.240.10 – Paper Code 2021 0 of 1 ran · 1 unverified report
16 MIL-Rank 85.330.15 – Paper Code 2018 4 of 6 ran · 2 unverified report

All 16 rows shown. 16 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). 9 rows have a graph line, from 9 distinct papers; 7 rows (7 papers) have at least one sample that ran. Counting each paper once: Syntology ran 23 of 29 samples; 6 unverified. Separately, 12 of those 29 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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