1 code implementation • 26 Feb 2022 • Aybora Koksal, Onder Tuzcuoglu, Kutalmis Gokalp Ince, Yoldas Ataseven, A. Aydin Alatan
Hard example mining methods generally improve the performance of the object detectors, which suffer from imbalanced training sets.
1 code implementation • 18 Jan 2021 • Kutalmis Gokalp Ince, Aybora Koksal, Arda Fazla, A. Aydin Alatan
For detection, we use an off-the-shelf object detector which is trained iteratively with the annotations generated by the proposed method, and we perform object detection on each frame independently.
1 code implementation • 2 Apr 2020 • Aybora Koksal, Kutalmis Gokalp Ince, A. Aydin Alatan
Following the recent advances in deep networks, object detection and tracking algorithms with deep learning backbones have been improved significantly; however, this rapid development resulted in the necessity of large amounts of annotated labels.