ImageNet-21K Pretraining for the Masses.
作者： Lihi Zelnik-Manor , Asaf Noy , Tal Ridnik , Emanuel Ben Baruch
DOI:
关键词: Preprocessor 、 Machine learning 、 Deep learning 、 Computer science 、 Pipeline (software) 、 Code (cryptography) 、 Scheme (programming language) 、 WordNet 、 Artificial intelligence 、 Softmax function
摘要: … a single label at hierarchy k, with multi-label training we are guaranteed that all ground-truth … , multi-label training partly mitigates the inconsistent tagging problem, and makes training …
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