Advanced Neural Network Applications

A General Method for Detection and Segmentation of Terrestrial Arthropods in Images

flatbug, a YOLOv8 instance-segmentation model with multi-scale tile-pyramid inference and polygon-based deduplication, segments terrestrial arthropods across 23 image subdatasets and transfers to held-out subdatasets with a modest F1 penalty.

Addressing the open world: detecting and segmenting pollen on palynological slides with deep learning

Fusing a small-grain expert detector, fine-tuning across microscopes, human-in-the-loop continual learning and zero-shot SAM-2 segmentation improve detection and isolation of fossil pollen on scanned slides.

Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?

Among dozens of ImageNet-trained networks scored against macaque V4/IT recordings and human behavior, DenseNet-169, CORnet-S and ResNet-101 rank highest, and brain similarity stops tracking accuracy above 70% top-1.