3 papers
cs.CV2023
Semantic-aware Network for Aerial-to-Ground Image Synthesis
Jinhyun Jang, Taeyong Song, Kwanghoon Sohn
Aerial-to-ground image synthesis is an emerging and challenging problem that aims to synthesize a ground image from an aerial image. Due to the highly different layout and object r…
cs.CV2023
Probabilistic Prompt Learning for Dense Prediction
Hyeongjun Kwon, Taeyong Song, Somi Jeong +3
Recent progress in deterministic prompt learning has become a promising alternative to various downstream vision tasks, enabling models to learn powerful visual representations wit…
cs.CV2022
Context-Preserving Instance-Level Augmentation and Deformable Convolution Networks for SAR Ship Detection
Taeyong Song, Sunok Kim, SungTai Kim +2
Shape deformation of targets in SAR image due to random orientation and partial information loss caused by occlusion of the radar signal, is an essential challenge in SAR ship dete…