SciQNet: Two-Stage Multimodal Adaptation for Scientific Image Quality Assessment
SciQNet is presented, a two-stage multimodal adaptation framework for scientific image quality assessment and experiments show that using a 40% stratified subset of the domain-adaptive data gives the best performance among the evaluated pretraining fractions, suggesting that pretraining-data relevance may be as important as pretraining-data scale.