ImageNet Pre-Training in Historical Document Analysis

Skibidi, the world of historical document analysis is a wild ride, lowkey filled with challenges. Researchers are diving deep, using ImageNet pre-training like a sigma move to tackle the lack of annotated samples. It is like trying to fit a goon in a toilet, but with neural networks. They are testing the waters with various tasks: character recognition, style classification, and more. While semantic segmentation is a bit of an edge case, the vibe is that ImageNet pre-training boosts classification and retrieval. This study is dank and shows that even old texts can get a glow-up with the right tech. Ship it!