Comments (4)
Hi,
The details about fusing the iDT based scores are in the file "merge_hmdb.py". I think you should add the path to the idt score files "--idt" and the source decision values can be obtained from Gül Varol Simsekli [email protected]. And I also upload a backup in the 'idt_decision_values' file.
Please use python2 to run 'merge_hmdb.py --rgb --flow --idt <idt logits path, a mat format file> --split <1, 2 or 3>'
Thank you!
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Thank you so much for your prompt reply. I think your fusion strategy about iDT and SeqVLAD is late fusion, which is performed by calculating the weighted average of classification scores of IDT with the scores predicted by your proposed method SeqVLAD for each class of videos. Then the label with the highest value is utilized as the predicted label. Am I right?
from seqvlad-pytorch.
Yes, you are right.
from seqvlad-pytorch.
Thanks a lot.
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Related Issues (9)
- 您好,进您实验室读博咨询 HOT 2
- import mc HOT 2
- The best choice for your experiment? HOT 4
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- .npz score file for ucf101 HOT 4
- hmdb51 test file (before renamed) HOT 6
- Could you realese the init models of the flow on UCF101 dataset HOT 3
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