Assessing Representation Semantics Under Language Pretraining in Fine-Grained Classification
A compact explainability-driven framework for comparing encoders trained with classification-only and caption-generation supervision on CUB-200 provides a systematic basis for assessing learned representations and comparing alternative training and transfer-learning strategies.
Md Raisul Kibria, Sébastien Lafond
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