Towards Visual Explainable Active Learning for Zero-Shot Classification
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DOI: 10.1109/tvcg.2021.3114793
Abstract: Zero-shot classification is a promising paradigm to solve an applicable problem when the training classes and test classes are disjoint. Achieving this usually needs experts to externalize their domain knowledge by manually specifying a class-attribute… read more here.
Keywords: zero shot; explainable active; active learning; shot classification ... See more keywords