Daniel Lehmann

According to our database, Daniel Lehmann authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Improving Convolutional Neural Network-based Image Classification by Exploiting Network Layer Information.

Daniel Lehmann

PhD thesis, 2024

2022

Subclass-based Undersampling for Class-imbalanced Image Classification.

Daniel Lehmann, Marc Ebner

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Reliable Classification of Images by Calculating Their Credibility Using a Layer-Wise Activation Cluster Analysis of CNNs.

Daniel Lehmann, Marc Ebner

Proceedings of the Deep Learning Theory and Applications - Third International Conference, 2022

Calculating the Credibility of Test Samples at Inference by a Layer-wise Activation Cluster Analysis of Convolutional Neural Networks.

Daniel Lehmann, Marc Ebner

Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, 2022

2021

Are Image Patches Beneficial for Initializing Convolutional Neural Network Models?

Daniel Lehmann, Marc Ebner

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Layer-Wise Activation Cluster Analysis of CNNs to Detect Out-of-Distribution Samples.

Daniel Lehmann, Marc Ebner

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021