2.3k citations · 4.2k across the 16 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.PF2026
RGB Input Pipelines: Throughput, GPU Memory, and Transformation Coverage
Vladimir Iglovikov
An image-augmentation pipeline must deliver a complete batch before a model can use it. We compare seven input paths from five libraries, starting with RGB JPEG files and ending wi…
cs.CV2026
AlbumentationsX: One Augmentation Pipeline for Images and Related Annotations
Vladimir Iglovikov
Augmentation can corrupt a training example when an image and its annotations receive different random changes. A crop must use the same coordinates for the image, mask, boxes, key…