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Inseop Chung
Inseop Chung
Seoul National Univeristy, Graduate School of Convergence Science and Technology
Bestätigte E-Mail-Adresse bei snu.ac.kr
Titel
Zitiert von
Zitiert von
Jahr
Feature-map-level online adversarial knowledge distillation
I Chung, SU Park, J Kim, N Kwak
International Conference on Machine Learning, 2006-2015, 2020
1452020
Feature fusion for online mutual knowledge distillation
J Kim, M Hyun, I Chung, N Kwak
2020 25th International Conference on Pattern Recognition (ICPR), 4619-4625, 2021
982021
Maximizing cosine similarity between spatial features for unsupervised domain adaptation in semantic segmentation
I Chung, D Kim, N Kwak
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022
182022
Unsupervised domain adaptation for one-stage object detector using offsets to bounding box
J Yoo, I Chung, N Kwak
European Conference on Computer Vision, 691-708, 2022
122022
Dummy prototypical networks for few-shot open-set keyword spotting
B Kim, S Yang, I Chung, S Chang
arXiv preprint arXiv:2206.13691, 2022
122022
Training multi-object detector by estimating bounding box distribution for input image
J Yoo, H Lee, I Chung, G Seo, N Kwak
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
11*2021
Personalized keyword spotting through multi-task learning
S Yang, B Kim, I Chung, S Chang
arXiv preprint arXiv:2206.13708, 2022
62022
X-MAS: Extremely large-scale multi-modal sensor dataset for outdoor surveillance in real environments
DK Noh, C Sung, T Uhm, WJ Lee, H Lim, J Choi, K Lee, D Hong, D Um, ...
IEEE Robotics and Automation Letters 8 (2), 1093-1100, 2023
42023
Exploiting inter-pixel correlations in unsupervised domain adaptation for semantic segmentation
I Chung, J Yoo, N Kwak
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
22023
End-to-end multi-object detection with a regularized mixture model
J Yoo, H Lee, S Seo, I Chung, N Kwak
arXiv preprint arXiv:2205.08714, 2022
2*2022
Mitigating the Bias in the Model for Continual Test-Time Adaptation
I Chung, K Hwang, J Yoo, N Kwak
arXiv preprint arXiv:2403.01344, 2024
2024
What, How, and When Should Object Detectors Update in Continually Changing Test Domains?
J Yoo, D Lee, I Chung, D Kim, N Kwak
arXiv preprint arXiv:2312.08875, 2023
2023
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features
I Chung, KY Yoo, N Kwak
arXiv preprint arXiv:2312.05141, 2023
2023
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