Label, verify, correct: a simple few shot object detection method
The objective of this paper is few-shot object detection (FSOD) – the task of expanding an object detector for a new category given only a few instances for training. We introduce a simple pseudo-labelling method to source highquality pseudo-annotations from the training set, for each new category,...
| Autores principales: | , , |
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| Formato: | Conference item |
| Lenguaje: | English |
| Publicado: |
IEEE
2022
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