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Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results
[article]
2022
arXiv
pre-print
ImageNet serves as the primary dataset for evaluating the quality of computer-vision models. The common practice today is training each architecture with a tailor-made scheme, designed and tuned by an expert. In this paper, we present a unified scheme for training any backbone on ImageNet. The scheme, named USI (Unified Scheme for ImageNet), is based on knowledge distillation and modern tricks. It requires no adjustments or hyper-parameters tuning between different models, and is efficient in
arXiv:2204.03475v2
fatcat:lorfkniriras5pawocfcttxowu