78 citations · 79 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Rethinking Global Average Pooling: Your Classifier Is Secretly a Multi-Instance Learner
Aray Karjauv
Modern image classifiers widely adopt global average pooling (GAP) followed by a linear classification head. This linearity ensures that the image-level logits equal the average of…
cs.CV2024★ 1 cited
LaFAM: Unsupervised Feature Attribution with Label-free Activation Maps
Aray Karjauv, Sahin Albayrak
Convolutional Neural Networks (CNNs) are known for their ability to learn hierarchical structures, naturally developing detectors for objects, and semantic concepts within their de…
eess.IV2022★ 78 cited
Recommendations on test datasets for evaluating AI solutions in pathology
André Homeyer, Christian Geißler, Lars Ole Schwen +27
Artificial intelligence (AI) solutions that automatically extract information from digital histology images have shown great promise for improving pathological diagnosis. Prior to…