Search Results for author: Hyeong Gwon Hong

Found 7 papers, 1 papers with code

Localization using Multi-Focal Spatial Attention for Masked Face Recognition

no code implementations3 May 2023 Yooshin Cho, Hanbyel Cho, Hyeong Gwon Hong, Jaesung Ahn, Dongmin Cho, JungWoo Chang, Junmo Kim

In our method, standard spatial attention and networks focus on unmasked regions, and extract mask-invariant features while minimizing the loss of the conventional Face Recognition (FR) performance.

Face Recognition

Data Poisoning Attack Aiming the Vulnerability of Continual Learning

no code implementations29 Nov 2022 Gyojin Han, Jaehyun Choi, Hyeong Gwon Hong, Junmo Kim

Training data generated by the proposed attack causes performance degradation on a specific task targeted by the attacker.

Adversarial Attack Continual Learning +1

Rethinking Efficacy of Softmax for Lightweight Non-Local Neural Networks

no code implementations27 Jul 2022 Yooshin Cho, Youngsoo Kim, Hanbyel Cho, Jaesung Ahn, Hyeong Gwon Hong, Junmo Kim

Attention maps normalized with softmax operation highly rely upon magnitude of key vectors, and performance is degenerated if the magnitude information is removed.

Residual Continual Learning

1 code implementation17 Feb 2020 Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim

We propose a novel continual learning method called Residual Continual Learning (ResCL).

Continual Learning

EDAS: Efficient and Differentiable Architecture Search

no code implementations3 Dec 2019 Hyeong Gwon Hong, Pyunghwan Ahn, Junmo Kim

Transferrable neural architecture search can be viewed as a binary optimization problem where a single optimal path should be selected among candidate paths in each edge within the repeated cell block of the directed a cyclic graph form.

Neural Architecture Search Quantization

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