Comments (4)
sallymmx
commented on July 20, 2024
您好，我是王蒙蒙，您的邮件我已收到，并及时回复。
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laohuijiadezhu
commented on July 20, 2024
我有类似的问题，请问应该如何做小样本设置的实验，即如何进行论文中“Figure 3”的实验？ @bedman367 @sallymmx @jiazheng-xing
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yanghhx
commented on July 20, 2024
你好,我也有类似的小样本设置的问题,few-shot如何划分样本集呢?zero-shot的实验是把有标签的训练结果当做预训练模型,然后直接把这个预训练的模型拿来做zero-shot测试么?zero-shot的测试跟一般的测试有什么区别呢?它们测试用的数据集是一样的吗?
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Mia-YatingYu
commented on July 20, 2024
你好,我也有类似的小样本设置的问题,few-shot如何划分样本集呢?zero-shot的实验是把有标签的训练结果当做预训练模型,然后直接把这个预训练的模型拿来做zero-shot测试么?zero-shot的测试跟一般的测试有什么区别呢?它们测试用的数据集是一样的吗?
这里零样本应该是使用在k400上预训练模型直接拿来做在ucf101和hmdb51上做zero-shot测试，但是由于这些数据集当中有少数类别是重合的，这里应该也没有做特别严格的确保一定是unseen
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Related Issues (20)
- UCF101的微调 HOT 2
- The details about multi-label video classification (Charades)
- The checkpoints of HMDB51 & UCF101 are not found
- 转onnx HOT 1
- The links of pretrained models are expired. HOT 4
- about pretrained weights (on K400)
- Looking for help to try ActionCLIP for custom videos HOT 3
- 关于zero-shot测试和few-shot测试的设置问题 HOT 3
- About the pretrained model
- 请问能提供预处理后的数据集下载链接吗，非常感谢
- About input data- video file, prompts
- No train/validation/test list for HMDB51 or Kinetics? HOT 2
- Pretrained models from baidu?
- 您好，想知道zero-shot实验中ucf_zero_shot.yaml中label_list的csv文件中存放的哪些信息，还有val_list的txt文件存放的哪些信息
- environment.yml HOT 1
- visualized results
- 4.5. Comparison with State-of-the-art Methods The results in the appendix
- random seed HOT 1
- where is T
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