4 citations · 12 across the 5 of their papers we have counts for
7 papers
Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation
Ibrahim Batuhan Akkaya, Ugur Halici
Unsupervised source-free domain adaptation methods aim to train a model for the target domain utilizing a pretrained source-domain model and unlabeled target-domain data, particula…
Analysis of Visual Reasoning on One-Stage Object Detection
Tolga Aksoy, Ugur Halici
Current state-of-the-art one-stage object detectors are limited by treating each image region separately without considering possible relations of the objects. This causes dependen…
Effect of Input Size on the Classification of Lung Nodules Using Convolutional Neural Networks
Gorkem Polat, Yesim Dogrusoz Serinagaoglu, Ugur Halici
Recent studies have shown that lung cancer screening using annual low-dose computed tomography (CT) reduces lung cancer mortality by 20% compared to traditional chest radiography.…
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…
GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation
Ibrahim Batuhan Akkaya, Ugur Halici
Image-to-image translation (IIT) has made much progress recently with the development of adversarial learning. In most of the recent work, an adversarial loss is utilized to match…
Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance
Safa Alver, Ugur Halici
Visual face tracking is one of the most important tasks in video surveillance systems. However, due to the variations in pose, scale, expression, and illumination it is considered…