Comments (2)
Hi, there are some differences in the evaluation between (50salads, breakfast) and GTEA. For 50salads and breakfast, the action_start, action end and the SIL are evaluated as normal actions, while the background in GTEA is not. If you take a close look at the annotation file, you can find that action_start, action end, SIL only happens at the beginning and end of the video, while background happens in every two continuous normal actions in GTEA.
Actually, the eval code is adapted from MS-TCN, which is further adapted from ED-TCN(2017). The same evaluation manner has been used to ensure the comparability of results.
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Hi,
Thanks for clarification. I found the evaluation protocol of MSTCN is a bit confusing. I read its code before and at that time I assumed they changed the class name according to dataset and just did not take the trouble to auto-change it in the released code. Have you checked with MSTCN's author on that?
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Related Issues (17)
- cross-self attention HOT 1
- about the randomness of code HOT 1
- Feature Extraction HOT 3
- Enviroment issues HOT 1
- The provided models generate lower scores than the paper reported HOT 3
- How to understand stage images from result HOT 6
- How to extract attention weights HOT 4
- Issue while trying to run the pretained models.
- attention实现的问题 HOT 5
- flops,GPU mem code HOT 4
- Long training time HOT 2
- Batch size constraint HOT 6
- Cannot download the model HOT 2
- pre-extracted feature HOT 1
- results on salads50 does not match table 5 HOT 3
- Increase the batchsize and the result is hurt HOT 2
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