Search Results for author: Geonuk Kim

Found 3 papers, 1 papers with code

Spatial Reasoning for Few-Shot Object Detection

no code implementations2 Nov 2022 Geonuk Kim, Hong-Gyu Jung, Seong-Whan Lee

Although modern object detectors rely heavily on a significant amount of training data, humans can easily detect novel objects using a few training examples.

Data Augmentation Few-Shot Object Detection +2

Character decomposition to resolve class imbalance problem in Hangul OCR

1 code implementation12 Aug 2022 Geonuk Kim, Jaemin Son, Kanghyu Lee, Jaesik Min

As the total number of the characters could overwhelm the capacity of a neural network, the existing OCR encoding methods pre-define a smaller set of characters that are frequently used.

Optical Character Recognition Optical Character Recognition (OCR)

Few-Shot Object Detection via Knowledge Transfer

no code implementations28 Aug 2020 Geonuk Kim, Hong-Gyu Jung, Seong-Whan Lee

If there are only a few training data and annotations, the object detectors easily overfit and fail to generalize.

Few-Shot Object Detection Object +2

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