no code implementations • CVPR 2023 • Berkan Demirel, Orhun Buğra Baran, Ramazan Gokberk Cinbis
Few-shot object detection, the problem of modelling novel object detection categories with few training instances, is an emerging topic in the area of few-shot learning and object detection.
1 code implementation • 9 Jan 2022 • Orhun Buğra Baran, Ramazan Gökberk Cinbiş
Over the last couple of years few-shot learning (FSL) has attracted great attention towards minimizing the dependency on labeled training examples.
1 code implementation • ICLR 2022 • Samet Cetin, Orhun Buğra Baran, Ramazan Gokberk Cinbis
In our approach, at each generative model update step, we fit a task-specific closed-form ZSL model from generated samples, and measure its loss on novel samples all within the compute graph, a procedure that we refer to as sample probing.