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cs.CV2024
GANetic Loss for Generative Adversarial Networks with a Focus on Medical Applications
Shakhnaz Akhmedova, Nils Körber
Generative adversarial networks (GANs) are machine learning models that are used to estimate the underlying statistical structure of a given dataset and as a result can be used for…
cs.CV2024
Next Generation Loss Function for Image Classification
Shakhnaz Akhmedova, Nils Körber
Neural networks are trained by minimizing a loss function that defines the discrepancy between the predicted model output and the target value. The selection of the loss function i…
cs.CV2022★ 10 cited
Parameter-Free Average Attention Improves Convolutional Neural Network Performance (Almost) Free of Charge
Nils Körber
Visual perception is driven by the focus on relevant aspects in the surrounding world. To transfer this observation to the digital information processing of computers, attention me…