87 citations · 95 across the 5 of their papers we have counts for
4 papers · 1 filter
Heuristic Hyperparameter Choice for Image Anomaly Detection
Zeyu Jiang, João P. C. Bertoldo, Etienne Decencière
Anomaly detection (AD) in images is a fundamental computer vision problem by deep learning neural network to identify images deviating significantly from normality. The deep featur…
Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation
Joao P. C. Bertoldo, Santiago Velasco-Forero, Jesus Angulo +1
We propose an incremental improvement to Fully Convolutional Data Description (FCDD), an adaptation of the one-class classification approach from anomaly detection to image anomaly…
Giga-SSL: Self-Supervised Learning for Gigapixel Images
Tristan Lazard, Marvin Lerousseau, Etienne Decencière +1
Whole slide images (WSI) are microscopy images of stained tissue slides routinely prepared for diagnosis and treatment selection in medical practice. WSI are very large (gigapixel…
Dealing with Topological Information within a Fully Convolutional Neural Network
Etienne Decencière, Santiago Velasco-Forero, Fu Min +6
A fully convolutional neural network has a receptive field of limited size and therefore cannot exploit global information, such as topological information. A solution is proposed…