fix linear projection for bounding box binary classification#148
Open
NouamaneTazi wants to merge 1 commit intofundamentalvision:mainfrom
Open
fix linear projection for bounding box binary classification#148NouamaneTazi wants to merge 1 commit intofundamentalvision:mainfrom
NouamaneTazi wants to merge 1 commit intofundamentalvision:mainfrom
Conversation
The paper says: | The detection head is of a 3-layer FFN for bounding box regression, and a linear projection for bounding box binary classification (i.e., foreground and background) doesn't that mean we should only have 2 outputs in the class_embed (later used in here)
Author
|
Related to #79 |
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
1 participant
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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 paper says:
Doesn't that mean we should only have 2 outputs in
class_embed? (later used in here)EDIT: after further investigation it seems that my confusion comes from this line . Why do we pick the best scoring bounding boxes based on the first class?