349 citations · 390 across the 4 of their papers we have counts for
5 papers
Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation
Alper Kayabaşı, Gülin Tüfekci, İlkay Ulusoy
Few-shot segmentation aims to devise a generalizing model that segments query images from unseen classes during training with the guidance of a few support images whose class tally…
Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders
Gülin Tüfekci, Alper Kayabaşi, Erdem Akagündüz +1
In this paper, an LSTM autoencoder-based architecture is utilized for drowsiness detection with ResNet-34 as feature extractor. The problem is considered as anomaly detection for a…
Meta Soft Label Generation for Noisy Labels
Görkem Algan, Ilkay Ulusoy
The existence of noisy labels in the dataset causes significant performance degradation for deep neural networks (DNNs). To address this problem, we propose a Meta Soft Label Gener…
Label Noise Types and Their Effects on Deep Learning
Görkem Algan, İlkay Ulusoy
The recent success of deep learning is mostly due to the availability of big datasets with clean annotations. However, gathering a cleanly annotated dataset is not always feasible…
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
Görkem Algan, Ilkay Ulusoy
Image classification systems recently made a giant leap with the advancement of deep neural networks. However, these systems require an excessive amount of labeled data to be adequ…