613 citations · 849 across the 26 of their papers we have counts for
4 papers · 1 filter
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation
YoungJoon Yoo, Seonguk Park, Junyoung Choi +2
This paper proposes a new algorithm for controlling classification results by generating a small additive perturbation without changing the classifier network. Our work is inspired…
Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams
Daesik Kim, Youngjoon Yoo, Jeesoo Kim +2
In this work, we introduce a new algorithm for analyzing a diagram, which contains visual and textual information in an abstract and integrated way. Whereas diagrams contain richer…
BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning
Simyung Chang, YoungJoon Yoo, Jaeseok Choi +1
We introduce a novel method to train agents of reinforcement learning (RL) by sharing knowledge in a way similar to the concept of using a book. The recorded information in the for…
Superpixel-based Semantic Segmentation Trained by Statistical Process Control
Hyojin Park, Jisoo Jeong, Youngjoon Yoo +1
Semantic segmentation, like other fields of computer vision, has seen a remarkable performance advance by the use of deep convolution neural networks. However, considering that nei…