E-LIB Suche - Ergebnisse für: Na, Dongbin

1

HOD: New Harmful Object Detection Benchmarks for Robust Sur..:

, In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW),

Ha, Eungyeom ; Kim, Heemook ; Na, Dongbin - p. 183-192 , 2024

Link: https://doi.org/10.1109/..

2

Unrestricted Black-Box Adversarial Attack Using GAN with Li..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022 Workshops,

Na, Dongbin ; Ji, Sangwoo ; Kim, Jong - p. 467-482 , 2023

Link: https://doi.org/10.1007/..

3

Defending against attacks tailored to transfer learning via..:

Ji, Sangwoo ; Park, Namgyu ; Na, Dongbin..
Computer Vision and Image Understanding. 223 (2022) - p. 103533 , 2022

Link: https://doi.org/10.1016/..

4

CAPTCHAs Are Still in Danger: An Efficient Scheme to Bypass..:

, In: Information Security Applications; Lecture Notes in Computer Science,

Na, Dongbin ; Park, Namgyu ; Ji, Sangwoo. - p. 31-44 , 2020

Link: https://doi.org/10.1007/..

5

KoMultiText: Large-Scale Korean Text Dataset for Classifyin..:

Choi, Dasol ; Song, Jooyoung ; Lee, Eunsun...
http://arxiv.org/abs/2310.04313. , 2023

Link: http://arxiv.org/abs/231..

6

A New Korean Text Classification Benchmark for Recognizing ..:

Kim, Beomjune ; Lee, Eunsun ; Na, Dongbin
http://arxiv.org/abs/2311.01712. , 2023

Link: http://arxiv.org/abs/231..

7

Towards Machine Unlearning Benchmarks: Forgetting the Perso..:

Choi, Dasol ; Na, Dongbin
http://arxiv.org/abs/2311.02240. , 2023

Link: http://arxiv.org/abs/231..

8

Bag of Tricks for In-Distribution Calibration of Pretrained..:

Kim, Jaeyoung ; Na, Dongbin ; Choi, Sungchul.
http://arxiv.org/abs/2302.06690. , 2023

Link: http://arxiv.org/abs/230..

9

Problem-Solving Guide: Predicting the Algorithm Tags and Di..:

Kim, Juntae ; Cho, Eunjung ; Kim, Dongwoo.
http://arxiv.org/abs/2310.05791. , 2023

Link: http://arxiv.org/abs/231..

10

Self-accumulative Vision Transformer for Bone Age Assessmen..:

Choi, Hong-Jun ; Na, Dongbin ; Cho, Kyungjin...
http://arxiv.org/abs/2303.16557. , 2023

Link: http://arxiv.org/abs/230..

11

Towards Reliable AI Model Deployments: Multiple Input Mixup..:

Choi, Dasol ; Na, Dongbin
http://arxiv.org/abs/2312.15514. , 2023

Link: http://arxiv.org/abs/231..

12

New Benchmarks for Asian Facial Recognition Tasks: Face Cla..:

Seo, Jinwoo ; Choi, Soora ; Ha, Eungyeom..
http://arxiv.org/abs/2310.09756. , 2023

Link: http://arxiv.org/abs/231..

13

HOD: A Benchmark Dataset for Harmful Object Detection:

Ha, Eungyeom ; Kim, Heemook ; Hong, Sung Chul.
http://arxiv.org/abs/2310.05192. , 2023

Link: http://arxiv.org/abs/231..

14

Pseudo Outlier Exposure for Out-of-Distribution Detection u..:

Kim, Jaeyoung ; Jung, Kyuheon ; Na, Dongbin...
http://arxiv.org/abs/2307.09455. , 2023

Link: http://arxiv.org/abs/230..

15

Unrestricted Black-box Adversarial Attack Using GAN with Li..:

Na, Dongbin ; Ji, Sangwoo ; Kim, Jong
http://arxiv.org/abs/2208.11613. , 2022

Link: http://arxiv.org/abs/220..