23 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.CV2020
KL-Divergence-Based Region Proposal Network for Object Detection
Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi +1
The learning of the region proposal in object detection using the deep neural networks (DNN) is divided into two tasks: binary classification and bounding box regression task. Howe…
cs.NE2019★ 1 cited
Genetic-Gated Networks for Deep Reinforcement
Simyung Chang, John Yang, Jaeseok Choi +1
We introduce the Genetic-Gated Networks (G2Ns), simple neural networks that combine a gate vector composed of binary genetic genes in the hidden layer(s) of networks. Our method ca…
cs.CV2017★ 23 cited
Residual Features and Unified Prediction Network for Single Stage Detection
Kyoungmin Lee, Jaeseok Choi, Jisoo Jeong +1
Recently, a lot of single stage detectors using multi-scale features have been actively proposed. They are much faster than two stage detectors that use region proposal networks (R…