Adding synthetic bad weather made our real-weather sky accuracy worse on every architecture — the cause was a geometry missing from the training set

We were fine-tuning on physically-modelled dust, night, fog, lens rain and lens mud. On synthetic held-out corruptions (ImageNet-C fog/spatter/motion blur, an unprocessing-based low-light model — generators never used to make training data) it worked. On real adverse weather, drivable-surface IoU i…

Read the full story at r/computervision ↗

Timeline · 1 report

1. 2026-10-04 06:22 · r/computervision
   Adding synthetic bad weather made our real-weather sky accuracy worse on every architecture — the cause was a geometry missing from the training set