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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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Computer Vision and Image Understanding
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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.

91 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.
91 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 91 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 91 of 91 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
50 Years of object recognition: Directions forward
Alexander Andreopoulos, John K. Tsotsos
2013· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
351
citations
affno abstractunlabeled
Watershed-Based Segmentation and Region Merging
André Bleau, L.J. Leon
2000· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
311
citations
afffundno abstractunlabeled
Robustly Estimating Changes in Image Appearance
Michael J. Black, David J. Fleet, Yaser Yacoob
2000· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
128
citations
afffundno abstractunlabeled
Selection weighted vector directional filters
Rastislav Lukàč, Bogdan Smołka, Konstantinos N. Plataniotis, A.N. Venetsanopoulos
2003· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
99
citations
affno abstractunlabeled
Quaternion color texture segmentation
Lilong Shi, Brian Funt
2007· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
90
citations
affno abstractunlabeled
Range Flow Estimation
Hagen Spies, Bernd Jähne, John A. Barron
2002· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
65
citations
affno abstractunlabeled
Depth from Defocus Estimation in Spatial Domain
Djemel Ziou, F. Deschênes
2001· article· en· Computer Vision and Image Understanding· Engineering
machine prediction:candidate · noneconsensus · none
60
citations
affno abstractunlabeled
Bone graphs: Medial shape parsing and abstraction
Diego Macrini, Sven Dickinson, David J. Fleet, Kaleem Siddiqi
2011· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
40
citations
affno abstractunlabeled
The representation and matching of categorical shape
Ali Shokoufandeh, Lars Bretzner, Diego Macrini, M. Fatih Demirci, Clas Jönsson, Sven Dickinson
2006· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
afffundno abstractunlabeled
Human attributes from 3D pose tracking
Micha Livne, Leonid Sigal, Nikolaus F. Troje, David J. Fleet
2012· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
27
citations
afffundno abstractunlabeled
A volumetric approach for interactive 3D modeling
D. Tubic, P. Hébert, Denis Laurendeau
2003· article· en· Computer Vision and Image Understanding· Engineering
machine prediction:candidate · noneconsensus · none
19
citations
afffundno abstractunlabeled
Sampled medial loci for 3D shape representation
Svetlana Stolpner, Sue Whitesides, Kaleem Siddiqi
2010· article· en· Computer Vision and Image Understanding· Engineering
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Object-level structured contour map extraction
Robert Bergevin, Annie Bubel
2003· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
A framework for estimating relative depth in video
Richard Rzeszutek, Dimitrios Androutsos
2015· article· en· Computer Vision and Image Understanding· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations

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