3 papers
cs.CV2023
Spectral Transfer Guided Active Domain Adaptation For Thermal Imagery
Berkcan Ustun, Ahmet Kagan Kaya, Ezgi Cakir Ayerden +1
The exploitation of visible spectrum datasets has led deep networks to show remarkable success. However, real-world tasks include low-lighting conditions which arise performance bo…
cs.CV2021
Self-training Guided Adversarial Domain Adaptation For Thermal Imagery
Ibrahim Batuhan Akkaya, Fazil Altinel, Ugur Halici
Deep models trained on large-scale RGB image datasets have shown tremendous success. It is important to apply such deep models to real-world problems. However, these models suffer…
cs.CV2018
Deep Structured Energy-Based Image Inpainting
Fazil Altinel, Mete Ozay, Takayuki Okatani
In this paper, we propose a structured image inpainting method employing an energy based model. In order to learn structural relationship between patterns observed in images and mi…