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cs.CV2022
A Review of Uncertainty Calibration in Pretrained Object Detectors
Denis Huseljic, Marek Herde, Mehmet Muejde +1
In the field of deep learning based computer vision, the development of deep object detection has led to unique paradigms (e.g., two-stage or set-based) and architectures (e.g., Fa…
cs.LG2022
Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations
Denis Huseljic, Marek Herde, Lukas Rauch +5
Deep active learning (AL) selects batches of instances for annotation to avoid retraining deep neural networks (DNNs) after each new label. Employing a naive top- selection can…