1 code implementation • CVPR 2022 • Chunggi Lee, Seonwook Park, Heon Song, Jeongun Ryu, Sanghoon Kim, Haejoon Kim, Sérgio Pereira, Donggeun Yoo
We perform experiments on the Tiny-DOTA and LCell datasets using both two-stage and one-stage object detection architectures to verify the efficacy of our approach.
2 code implementations • 19 Sep 2020 • Heon Song, Daiki Suehiro, Seiichi Uchida
For visual object tracking, it is difficult to realize an almighty online tracker due to the huge variations of target appearance depending on an image sequence.
Ranked #1 on Visual Object Tracking on TempleColor128
1 code implementation • ICCV 2023 • Hyunjae Lee, Heon Song, Hyeonsoo Lee, Gi-hyeon Lee, Suyeong Park, Donggeun Yoo
On the other hand, Self-Distillation (SD) only transfers partial knowledge learned by the task model itself.
1 code implementation • 17 Mar 2021 • Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi
As part of our framework, a parameterized pooling layer is proposed in which the kernel shape and pooling operation are trainable using two parameters, thereby allowing flexible pooling of the input data.
no code implementations • 11 Oct 2022 • Cholmin Kang, Chunggi Lee, Heon Song, Minuk Ma, S ergio Pereira
Furthermore, models trained from data annotated with lower inter-labeler variability outperform those from higher inter-labeler variability.
no code implementations • CVPR 2023 • Mingu Kang, Heon Song, Seonwook Park, Donggeun Yoo, Sérgio Pereira
To address this need, we execute the largest-scale study of SSL pre-training on pathology image data, to date.