Supervised and contrastive pretraining yield stronger linear separability than masked reconstruction or self-distillation on a three-class emerald grading task, with reconstruction improving under nonlinear probes.
Emerald quality fac- tors.https://www.gia.edu/emerald-quality- factor
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Pretraining Objective Matters in Extreme Low-Data FGVC: A Backbone-Controlled Study
Supervised and contrastive pretraining yield stronger linear separability than masked reconstruction or self-distillation on a three-class emerald grading task, with reconstruction improving under nonlinear probes.