deepinsight / deepinsight/transfer-mxnet
some problems with the dataset
- Dominant language
- Python
- Stars
- 55
- Forks
- 14
- PR merge metrics
- No merged PRs in 30d
Description
Hi, this is a very cool mxnet implementation of JAN and DaNN, however, in this project, you use a dataset which is not easily to get. Would you please share the compare car dataset with me?
And when I try this code on office31 dataset, with the task A->D, I could not re-produce the result shown in the paper (84% in paper, 77 in my try), have you try on office31 dataset and got a nice result?
If so, I am wondering whether you could provide some more information about training? Thank you!
Contributor guide
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Research direction
Start by reviewing the repository's dataset and training instructions, focusing on the unavailable comparison-car dataset and the Office31 A→D task mentioned in the issue. Done means documenting how to obtain the dataset and providing enough training information to explain or reproduce the reported 84% result.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100