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4 papers · 2 filters
Registration Loss Learning for Deep Probabilistic Point Set Registration
Felix Järemo Lawin, Per-Erik Forssén
Probabilistic methods for point set registration have interesting theoretical properties, such as linear complexity in the number of used points, and they easily generalize to join…
Survey of XAI in digital pathology
Milda Pocevičiūtė, Gabriel Eilertsen, Claes Lundström
Artificial intelligence (AI) has shown great promise for diagnostic imaging assessments. However, the application of AI to support medical diagnostics in clinical routine comes wit…
A Self-supervised Approach for Adversarial Robustness
Muzammal Naseer, Salman Khan, Munawar Hayat +2
Adversarial examples can cause catastrophic mistakes in Deep Neural Network (DNNs) based vision systems e.g., for classification, segmentation and object detection. The vulnerabili…
Classifying the classifier: dissecting the weight space of neural networks
Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski +2
This paper presents an empirical study on the weights of neural networks, where we interpret each model as a point in a high-dimensional space -- the neural weight space. To explor…