no code implementations • 23 Dec 2020 • Suhyeon Lee, Junhyuk Hyun, Hongje Seong, Euntai Kim
The main problem of UDA for semantic segmentation relies on reducing the domain gap between the real image and synthetic image.
1 code implementation • ECCV 2020 • Hongje Seong, Junhyuk Hyun, Euntai Kim
Unlike in previous works, we use the Hide-and-Seek strategy in pre-training to obtain the best possible results in handling occlusions and segment boundary extraction.
no code implementations • 26 Jul 2019 • Junhyuk Hyun, Hongje Seong, Euntai Kim
Pooling is one of the main elements in convolutional neural networks.
no code implementations • 17 Jul 2019 • Hongje Seong, Junhyuk Hyun, Euntai Kim
Scene recognition is an image recognition problem aimed at predicting the category of the place at which the image is taken.
Ranked #1 on Scene Recognition on MIT Indoor Scenes