Detecting Twenty-Thousand Classes Using Image-Level Supervision
Current object detectors are limited in vocabulary size due to the small scale of detection datasets. Image classifiers, on the other hand, reason about much larger vocabularies, as their datasets are larger and easier to collect. We propose Detic, which simply trains the classifiers of a detector o...
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Published in | Computer Vision - ECCV 2022 Vol. 13669; pp. 350 - 368 |
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Main Authors | , , , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer
01.01.2022
Springer Nature Switzerland |
Series | Lecture Notes in Computer Science |
Online Access | Get full text |
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