| Meta-tuning loss functions and data augmentation for few-shot object detection B Demirel, OB Baran, RG Cinbis proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 19 | 2023 |
| Masksplit: Self-supervised meta-learning for few-shot semantic segmentation MS Amac, A Sencan, B Baran, N Ikizler-Cinbis, RG Cinbis Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022 | 12 | 2022 |
| Closed-form sample probing for learning generative models in zero-shot learning S Cetin, OB Baran, RG Cinbiş | 10 | 2022 |
| Semantics-driven attentive few-shot learning over clean and noisy samples OB Baran, RG Cinbis Neurocomputing 513, 59-69, 2022 | 4 | 2022 |
| ATM Withdrawal Amount Forecasting Through Neural Architectures OB Baran, S Sunel, P Karagoz, IH Toroslu 2019 IEEE International Conference on Big Data (Big Data), 2134-2143, 2019 | 1 | 2019 |
| Supplementary Material: Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection B Demirel, OB Baran, RG Cinbis | | |
