nested learning

VisionHOPE: Visual Backbones as Self-Modifying Learning Systemsarxiv.org

VisionHOPE introduces a visual backbone that updates its own parameters on‑the‑fly using five coupled memories, with a stability‑matched step‑size scheme that keeps updates non‑expansive. The approach attains competitive ImageNet, COCO and ADE20K performance, showing self‑modifying learning systems can serve as practical general‑purpose vision models.