FDSML: Formula-Driven Supervised Metric Learning with Parameter-Aware Triplet Loss
arXiv:2610.39423v1 Announce Type: cross Abstract: Formula-Driven Supervised Learning (FDSL) enables vision pre-training without real images, but existing methods cast pre-training as classification on discretized labels, discarding continuity in the generative process. We propose Formula-Driven Supervised Metric Learning (FDSML), which derives relational supervision from image-generation parameters beyond discrete class labels. FDSML combines FineFractalDB, our refined fractal dataset with high…