107 citations · 108 across the 4 of their papers we have counts for
6 papers
Foveation-Guided Dynamic Token Selection for Robust and Efficient Vision Transformers
Ibrahim Batuhan Akkaya, Kishaan Jeeveswaran, Bahram Zonooz +1
The human visual system (HVS) employs foveated sampling and eye movements to achieve efficient perception, conserving both metabolic energy and computational resources. Drawing ins…
Enhancing Performance of Vision Transformers on Small Datasets through Local Inductive Bias Incorporation
Ibrahim Batuhan Akkaya, Senthilkumar S. Kathiresan, Elahe Arani +1
Vision transformers (ViTs) achieve remarkable performance on large datasets, but tend to perform worse than convolutional neural networks (CNNs) when trained from scratch on smalle…
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…
Focus-and-Detect: A Small Object Detection Framework for Aerial Images
Onur Can Koyun, Reyhan Kevser Keser, İbrahim Batuhan Akkaya +1
Despite recent advances, object detection in aerial images is still a challenging task. Specific problems in aerial images makes the detection problem harder, such as small objects…
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…