Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer

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.

Segmentation Semantic Segmentation +1

Kernelized Memory Network for Video Object Segmentation

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.

Object Semantic Segmentation +2

Universal Pooling -- A New Pooling Method for Convolutional Neural Networks

no code implementations • 26 Jul 2019 • Junhyuk Hyun, Hongje Seong, Euntai Kim

Pooling is one of the main elements in convolutional neural networks.

FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition

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.

Scene Recognition