This is a basic implementation of DenseNet combined with LSTM, used for sequence modeling. Here, DenseNet is a CNN feature extractor that feeds the extracted features to LSTM network in sequence. The network predicts 4 corner landmarks of each image in sequence. Overall, its a regression network for image with CNN feature extractor and basic LSTM layer.
-
Notifications
You must be signed in to change notification settings - Fork 1
This is an implementation of DenseNet Architecture combined with LSTM for sequence modeling.
License
Bidur-Khanal/DenseNet-LSTM
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This is an implementation of DenseNet Architecture combined with LSTM for sequence modeling.
Topics
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published