Comments (6)
Thanks very much for your attention. Because we should apply authorization for these datasets from the authors, I do not think it would be proper to share the datasets online. These datasets could access through the following websites. You could download the raw data and train with the corresponding backbones (image backbone are the pre-trained models given by the torchvision, and the pre-trained doc2vec model is available from https://github.com/jhlau/doc2vec). Hope this helps.
Note that, If the link is invalid, you could try to contact the original authors.
INRIA-Websearch: https://weiyc.github.io/assets/projects/tcyb.html
NUS-WIDE:
https://lms.comp.nus.edu.sg/wp-content/uploads/2019/research/nuswide/NUS-WIDE.html
XmediaNet: http://59.108.48.34/tiki/XMediaNet/
The list for nus_wide_deep_doc2vec_data_42941: https://drive.google.com/file/d/15xm6SwwdoLhMPupwheWopb3c5ryCp06j/view?usp=sharing
Best regards,
Hu, Peng
from mrl.
Hi PengHu,
Sorry but it seems to be unavailable for me to access to the website of INRIA-websearch you provide with.
Is it possible to provide a up-to-date website?
And I've been looking for single-labeled multi-modal dataset, any recommands?
Thanks a lot.
Bests,
ZihuaZhao
from mrl.
from mrl.
@ZihuaZhao Hello, do you get the INRIA-websearch dataset?
from mrl.
Thank you for your reply! I've used other datasets, much thanks.
from mrl.
Hi PengHu,
Thanks for the list “nus_wide_deep_doc2vec_data_42941”, but I don't understand how to get its h5py file from this list, could you please provide the h5py file about it?
Thank you so much.
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Related Issues (10)
- Question about symmetric noise rates. HOT 2
- The retrieval performance measures the instance level or category level? HOT 1
- Question about Robust Clustering loss. HOT 2
- Question about Contrastive Learning loss. HOT 2
- I have two questions for your paper. HOT 2
- About datasets of your experiments. HOT 14
- top@k precision-recall curve HOT 1
- Hi, a question about clustering assignments C? HOT 3
- Hi, it seems that the NUS-WIDE and INRIA-Websearch cannot be downloaded from the given website. HOT 3
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