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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Video Surveillance and Tracking Methods
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

962 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
962 works in the cohort · of 4,299,418page 1 of 20

Labels cover 1 of 962 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 962 of 962 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Incremental Learning for Robust Visual Tracking
David A. Ross, Jongwoo Lim, Ruei-Sung Lin, Ming–Hsuan Yang
2007· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
3,101
citations
affunlabeled
The Visual Object Tracking VOT2015 Challenge Results
Matej Kristan, Jiřı́ Matas, Aleš Leonardis, Michael Felsberg, Gustavo J. Fernández, Tomáš Vojíř +10 more
2015· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
705
citations
affunlabeled
Incremental Learning for Visual Tracking
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming–Hsuan Yang
2004· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
288
citations
affunlabeled
YawDD
Shabnam Abtahi, Mona Omidyeganeh, Shervin Shirmohammadi, Behnoosh Hariri
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
270
citations
affno abstractunlabeled
Robust Visual Tracking for Multiple Targets
Yizheng Cai, Nando de Freitas, James J. Little
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
188
citations
affunlabeled
High-Performance Discriminative Tracking with Transformers
Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu, Jinqiao Wang, Hao Feng +2 more
2021· article· en· 2021 IEEE/CVF International Conference on Computer Vision (ICCV)· Computer Science
machine prediction:candidate · noneconsensus · none
145
citations
affunlabeled
The Ninth Visual Object Tracking VOT2021 Challenge Results
Matej Kristan, Jiřı́ Matas, Aleš Leonardis, Michael Felsberg, Roman Pflugfelder, Joni‐Kristian Kämäräinen +126 more
2021· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
112
citations
affunlabeled
Real-Time Discriminative Background Subtraction
Li Cheng, Minglun Gong, Dale Schuurmans, Terry Caelli
2010· article· en· IEEE Transactions on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
104
citations
affunlabeled
Statistical background subtraction using spatial cues
Pierre‐Marc Jodoin, Max Mignotte, Janusz Konrad
2007· article· en· IEEE Transactions on Circuits and Systems for Video Technology· Computer Science
machine prediction:candidate · noneconsensus · none
102
citations
afffundunlabeled
Deep 6-DOF Tracking
Mathieu Garon, Jean‐François Lalonde
2017· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
90
citations

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