26 citations · 26 across the 4 of their papers we have counts for
5 papers · 1 filter
Improved Hard Example Mining Approach for Single Shot Object Detectors
Aybora Koksal, Onder Tuzcuoglu, Kutalmis Gokalp Ince +2
Hard example mining methods generally improve the performance of the object detectors, which suffer from imbalanced training sets. In this work, two existing hard example mining ap…
Effect of Parameter Optimization on Classical and Learning-based Image Matching Methods
Ufuk Efe, Kutalmis Gokalp Ince, A. Aydin Alatan
Deep learning-based image matching methods are improved significantly during the recent years. Although these methods are reported to outperform the classical techniques, the perfo…
DFM: A Performance Baseline for Deep Feature Matching
Ufuk Efe, Kutalmis Gokalp Ince, A. Aydin Alatan
A novel image matching method is proposed that utilizes learned features extracted by an off-the-shelf deep neural network to obtain a promising performance. The proposed method us…
Semi-Automatic Annotation For Visual Object Tracking
Kutalmis Gokalp Ince, Aybora Koksal, Arda Fazla +1
We propose a semi-automatic bounding box annotation method for visual object tracking by utilizing temporal information with a tracking-by-detection approach. For detection, we use…
Effect of Annotation Errors on Drone Detection with YOLOv3
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 developm…