Conversation
shelhamer
force-pushed
the
dev
branch
3 times, most recently
from
4278286 to
c01f07a
Compare
Member
|
Closing this preliminary PR since the contributing fork was cancelled. Multi-scale Orderless Pooling can be done by defining a network on multi-scale inputs with the right pooling configuration and VLAD without a special layer type. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
The plan is to implement the network architecture proposed in the paper[1] that @bhack found out.
I haven't read the paper thoroughly. But I believe it is worth reproducing as Gong was a co-author of Yangqing and they had similarly strong academic records and industry experiences.
[1] Y Gong, L Wang, R Guo, S Lazebnik. Multi-scale Orderless Pooling of Deep Convolutional Activation Features. arXiv preprint arXiv:1403.1840.