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Jihwan Kwak
Jihwan Kwak
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Ss-il: Separated softmax for incremental learning
H Ahn, J Kwak, S Lim, H Bang, H Kim, T Moon
Proceedings of the IEEE/CVF International conference on computer vision, 844-853, 2021
1772021
Prediction model for random variation in FinFET induced by line-edge-roughness (LER)
J Lee, T Park, H Ahn, J Kwak, T Moon, C Shin
Electronics 10 (4), 455, 2021
102021
Hyeonsu Bang, Hyojun Kim, and Taesup Moon
H Ahn, J Kwak, S Lim
SS-IL: Separated softmax for incremental learning, 2020
42020
Towards more objective evaluation of class incremental learning: Representation learning perspective
S Cha, J Kwak, D Shim, H Kim, M Lee, H Lee, T Moon
arXiv preprint arXiv:2206.08101, 2022
22022
Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation
J Kwak, S Cha, T Moon
arXiv preprint arXiv:2405.09858, 2024
2024
GAN-Based Framework for Unified Estimation of Process-Induced Random Variation in FinFET
T Park, J Kwak, H Ahn, J Lee, J Lim, S Yu, C Shin, T Moon
IEEE Access 10, 130001-130023, 2022
2022
Prediction Model for Random Variation in FinFET Induced by Line-Edge-Roughness (LER). Electronics 2021, 10, 455
J Lee, T Park, H Ahn, J Kwak, T Moon, C Shin
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021
2021
IDENTIFICATION AND CHARACTERIZATION OF MOUSE ORGANIC ANION TRANSPORTER 5 IN MOUSE KIDNEY AND LIVER
J Kwak, J Kwak, SH Cha
KOREAN JOURNAL OF PHYSIOLOGY AND PHARMACOLOGY 10, P, 2006
2006
Supplementary Materials for SS-IL: Separated Softmax for Incremental Learning
H Ahn, J Kwak, S Lim, H Bang, H Kim, T Moon
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학술자료 1–9