Comments (5)
Oh, thanks for your remind. I thought I have released all the attribute annotations.
Let me make a check, to see if I still have the attribute annotations for the first 700 videos.
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Hi @wenguanwang is there any update for those attributes? Also, are those marked by human or predicted by models?
Thanks
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Thanks, that would be great!
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@wenguanwang did you find the attribute annotations for the first 700 videos?
It would also be great to know from which dataset the individual videos originated (e.g. video 600 in DHF1K is train_0001 from the Youtube dataset, or DAVIS2016/SegTrack/...).
Could you provide this information? I would highly appreciate it!
from dhf1k.
Hi @wenguanwang is there any update for those attributes? Also, are those marked by human or predicted by models?
Thanks
from dhf1k.
Related Issues (20)
- Is the audio presented to the viewer during fixation collection? HOT 4
- How are ground truth saliency maps generated from recorded fixations? HOT 11
- Absent annotations HOT 1
- Testing setting of Hollywood2 dataset HOT 3
- Gaussian blurring of fixation map of Hollywood2 and UCFSports HOT 2
- package version HOT 1
- UCF download link? HOT 2
- Annotations for only 26 videos HOT 2
- question about testing AUC-shuffled HOT 8
- The loss is nan. HOT 1
- discrepancy in exportdata_train and DHF1K fixation maps? HOT 4
- 想问下有训练代码吗? HOT 1
- Regarding saliency metric (especially CC) HOT 9
- trained model HOT 3
- questions about the paths and files
- Dataset license HOT 2
- About ACL.h5
- modify generate_frame.m to python HOT 1
- Hollywood2 google link broken
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