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 on image classification data and thus expands the vocabulary of detectors to tens of thousands of concepts.

2022: Xingyi Zhou, Rohit Girdhar, Armand Joulin, Phillip Krahenbuhl, Ishan Misra

https://arxiv.org/pdf/2201.02605v2.pdf