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Large Scale Metric Learning for Distance-Based Image ...
Springer
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由 T Mensink 著作被引用 2 次 — Many real-life large-scale datasets are open-ended and dynamic: new images are continuously added to existing classes, new classes appear over time, ...
(PDF) Large Scale Metric Learning for Distance-Based Image ...
ResearchGate
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Many real-life large-scale datasets are open-ended and dynamic: new images are continuously added to existing classes, new classes appear over time, ...
Large Scale Metric Learning for Distance-Based Image ...
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由 T Mensink 著作2012被引用 5 次 — Abstract: This paper studies large-scale image classification, in a setting where new classes and training images could continuously be added at (near) zero ...
Large Scale Metric Learning for Distance-Based Image ...
Universiteit van Amsterdam
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Many real-life large-scale datasets are open-ended and dynamic: new images are continuously added to existing classes, new classes appear over time, and the ...
UvA-DARE ( Digital Academic Repository ) Large Scale Metric ...
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This work considers two distancebased classifiers, the k-nearest neighbor (k-NN) and nearest class mean (NCM) classifiers and introduces a new metric ...
Metric Learning for Large Scale Image Classification
Springer
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由 T Mensink 著作2012被引用 396 次 — Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets. Chapter © 2013. A Study on Metric-Based and Initialization-Based ...
Large Scale Metric Learning for Distance-Based Image ...
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Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost · Computer Science. ECCV · 2012.
缺少字詞: Open Ended
(PDF) Metric Learning for Large Scale Image Classification
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2024年11月21日 — Finally, we explore k-nearest neighbors and nearest-class mean classifiers for large-scale image classification. We propose efficient metric ...
Large Scale Metric Learning for Distance-Based Image ...
Informatics Institute - University of Amsterdam
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Informatics Institute - University of Amsterdam
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Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets T. E. J. Mensink, J. Verbeek, F. Perronnin, G. Csurka Chapter in ...
Metric Learning for Large Scale Image Classification
mensink.nu
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由 T Mensink12 著作被引用 396 次 — Many real-life large-scale datasets are open-ended and dynamic: new classes appear over time and new photos/videos are continuously added to existing classes.
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