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pro vyhledávání: '"Paul, Riti"'
Generalized zero-shot learning(GZSL) aims to classify samples from seen and unseen labels, assuming unseen labels are not accessible during training. Recent advancements in GZSL have been expedited by incorporating contrastive-learning-based (instanc
Externí odkaz:
http://arxiv.org/abs/2309.06987
The generalization power of deep-learning models is dependent on rich-labelled data. This supervision using large-scaled annotated information is restrictive in most real-world scenarios where data collection and their annotation involve huge cost. V
Externí odkaz:
http://arxiv.org/abs/2101.02275