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cs.CV2023★ 1 cited
Detecting Out-of-distribution Objects Using Neuron Activation Patterns
Bartłomiej Olber, Krystian Radlak, Krystian Chachuła +2
Object detection is essential to many perception algorithms used in modern robotics applications. Unfortunately, the existing models share a tendency to assign high confidence scor…
cs.CV2022★ 1 cited
Combating noisy labels in object detection datasets
Krystian Chachuła, Jakub Łyskawa, Bartłomiej Olber +3
The quality of training datasets for deep neural networks is a key factor contributing to the accuracy of resulting models. This effect is amplified in difficult tasks such as obje…