9 citations · 16 across the 4 of their papers we have counts for
4 papers
Improved Robustness of Vision Transformer via PreLayerNorm in Patch Embedding
Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang +3
Vision transformers (ViTs) have recently demonstrated state-of-the-art performance in a variety of vision tasks, replacing convolutional neural networks (CNNs). Meanwhile, since Vi…
Dead Pixel Test Using Effective Receptive Field
Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang +3
Deep neural networks have been used in various fields, but their internal behavior is not well known. In this study, we discuss two counterintuitive behaviors of convolutional neur…
Extending Class Activation Mapping Using Gaussian Receptive Field
Bum Jun Kim, Gyogwon Koo, Hyeyeon Choi +1
This paper addresses the visualization task of deep learning models. To improve Class Activation Mapping (CAM) based visualization method, we offer two options. First, we propose G…
Selective Distillation of Weakly Annotated GTD for Vision-based Slab Identification System
Sang Jun Lee, Sang Woo Kim, Wookyong Kwon +2
This paper proposes an algorithm for recognizing slab identification numbers in factory scenes. In the development of a deep-learning based system, manual labeling to make ground t…