Hyeonah Jang

Orcid: 0000-0001-5344-8114

According to our database1, Hyeonah Jang authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks.
ACM Trans. Intell. Syst. Technol., June, 2024

Steel product number recognition framework using semantic mask-conditioned diffusion model with limited data.
J. Ind. Inf. Integr., March, 2024

On the ideal number of groups for isometric gradient propagation.
Neurocomputing, March, 2024

2023
Improved robustness of vision transformers via prelayernorm in patch embedding.
Pattern Recognit., September, 2023

Smooth momentum: improving lipschitzness in gradient descent.
Appl. Intell., June, 2023

Dead pixel test using effective receptive field.
Pattern Recognit. Lett., March, 2023

Analysis of NaN Divergence in Training Monocular Depth Estimation Model.
CoRR, 2023

Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks.
CoRR, 2023

Two-Stage Billet Identification Number Recognition Using Label Distribution.
IEEE Access, 2023

How to use dropout correctly on residual networks with batch normalization.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Attention-Based Multimodal Image Feature Fusion Module for Transmission Line Detection.
IEEE Trans. Ind. Informatics, 2022

Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks.
CoRR, 2022

2021
Improved Robustness of Vision Transformer via PreLayerNorm in Patch Embedding.
CoRR, 2021


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