- This is an (unofficial) implementation of CARAFE: Content-Aware ReAssembly of FEatures with pytorch.
- The network is a light upsample module which performs well and has less parameters.
- The implementation of Context aware Reassembly Module maybe not the best. Is there any better ways to generate stride features?
- The module has been tested on my own yolo and imporved about 1mAP on VOC 2007 test dataset. The code will be relesed later.
- Check if bn and relu in Context aware Ressembly can imporve the module.