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cs.CV2023
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning
Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro
We propose a novel semi-supervised active learning (SSAL) framework for monocular 3D object detection with LiDAR guidance (MonoLiG), which leverages all modalities of collected dat…
cs.CV2023
Active Learning for Object Detection with Non-Redundant Informative Sampling
Aral Hekimoglu, Adrian Brucker, Alper Kagan Kayali +2
Curating an informative and representative dataset is essential for enhancing the performance of 2D object detectors. We present a novel active learning sampling strategy that addr…
cs.CV2023
Multi-Task Consistency for Active Learning
Aral Hekimoglu, Philipp Friedrich, Walter Zimmer +3
Learning-based solutions for vision tasks require a large amount of labeled training data to ensure their performance and reliability. In single-task vision-based settings, inconsi…