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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Bibliographic Details
Published inComputer Vision - ECCV 2022 Vol. 13669; pp. 350 - 368
Main Authors Zhou, Xingyi, Girdhar, Rohit, Joulin, Armand, Krähenbühl, Philipp, Misra, Ishan
Format Book Chapter
LanguageEnglish
Published Switzerland Springer 01.01.2022
Springer Nature Switzerland
SeriesLecture Notes in Computer Science
Online AccessGet full text

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