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你好,请问zero-shot的实验是把有seen类别的数据结果当做预训练模型,然后直接把这个预训练的模型拿来直接预测unseen类别么?zero-shot的测试跟一般的测试只是测试集不一样吗?另外few-shot如何划分样本集呢?
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你好,请问zero-shot的实验是把有seen类别的数据结果当做预训练模型,然后直接把这个预训练的模型拿来直接预测unseen类别么?zero-shot的测试跟一般的测试只是测试集不一样吗?另外few-shot如何划分样本集呢? 我是这么划分数据集做零样本的,ucf101上成绩差很多,hmdb51上,是有42%-46%的top-1 acc,还是达不到论文的50%。我觉得论文里的结论是gzsl(广义零样本学习的结果),就是验证集同时有seen和unseen class。
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你好,请问zero-shot的实验是把有seen类别的数据结果当做预训练模型,然后直接把这个预训练的模型拿来直接预测unseen类别么?zero-shot的测试跟一般的测试只是测试集不一样吗?另外few-shot如何划分样本集呢?
The text was updated successfully, but these errors were encountered: