PANet
PANet
**Path Aggregation Network**, or **PANet**, aims to boost information flow in a proposal-based instance segmentation framework. Specifically, the feature hierarchy is enhanced with accurate localization signals in lower layers by [bottom-up path augmentation](https://paperswithcode.com/method/bottom-up-path-augmentation), which shortens the information path between lower layers and topmost feature. Additionally, [adaptive feature pooling](https://paperswithcode.com/method/adaptive-feature-pooling) is employed, which links feature grid and all feature levels to make useful information in each feature level propagate directly to following proposal subnetworks. A complementary branch capturing different views for each proposal is created to further improve mask prediction.
Path Aggregation Network for Instance Segmentation
https://paperswithcode.com/paper/path-aggregation-network-for-instance
Path Aggregation Network for Instance Segmentation