Comments (2)
Dear @Autotalker,
Many thanks for your interest in our work, and thank you for your congratulations! This GitHub repository is for the (upcoming) code of Patch-NetVLAD, and the Issues tracker here is meant for reporting questions/bugs related to the code only (see https://guides.github.com/features/issues/).
Re. the research itself - we have received a lot of useful feedback and suggestions including yours and will try to incorporate as much as is possible into the revision, as well as in future work - noting that due to the constraints of the process we are unlikely to be able to do it all in this specific publication.
Many wishes, Tobias
P.S. Please note that we may not reply to anonymous emails as they are likely to be filtered out by our university’s spam filter (mentioning this as you inadvertently created an anonymous account here on GitHub when you posted this issue – fresh email addresses might be filtered out and non-anonymous communication is our preferred means of talking about scientific questions).
You are welcome to send me an email ([email protected]; if you prefer, feel free to also include the other authors) with any queries that you may have related to the paper itself.
from patch-netvlad.
Hi Tobias,
Thank you for your reply. I would expect your positive, point-to-point responses to my questions [Comparing to state-of-the-art methods]. It's your right to discuss [Point out my wrong statements] or ignore.
At this stage, please don't close this issue. I want to read your revised version [arxiv does not have a deadline].
Thank you!
from patch-netvlad.
Related Issues (20)
- cannot find the datasets... HOT 3
- How to arrange the mapillary dataset when training the code HOT 6
- How to get the value of Extended CMU Seasons? HOT 5
- Small issue on feature_match HOT 1
- Loss function HOT 1
- problem on training HOT 6
- Remove the WPCA layer before train HOT 4
- Support MPS
- How about the training time-consuming of hard samples mining module? HOT 3
- how to make a custom dataset? HOT 1
- Qustion about the function get_integral_feature(feat_in) HOT 2
- Cross-match between patches HOT 2
- questions about grouth.npz HOT 2
- How recalls on MSLS, Robotcar seasons, and CMU seasons are produced? HOT 6
- Ambiguity in the reported results
- patchnetvlad recall HOT 1
- pittsburgh_WPCA4096 HOT 1
- Tokyo24/7 HOT 1
- Large time taken for feature matching between query and database images for pitts30k HOT 5
- Unable to download pretrained models HOT 1
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from patch-netvlad.