4 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 4 cited
Spatial Reasoning for Few-Shot Object Detection
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. The mechanism of the h…
cs.CV2022★ 3 cited
Character decomposition to resolve class imbalance problem in Hangul OCR
Geonuk Kim, Jaemin Son, Kanghyu Lee +1
We present a novel approach to OCR(Optical Character Recognition) of Korean character, Hangul. As a phonogram, Hangul can represent 11,172 different characters with only 52 graphem…
cs.CV2020★ 1 cited
Few-Shot Object Detection via Knowledge Transfer
Geonuk Kim, Hong-Gyu Jung, Seong-Whan Lee
Conventional methods for object detection usually require substantial amounts of training data and annotated bounding boxes. If there are only a few training data and annotations,…