Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.
-
Updated
Jul 11, 2020 - Python
Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.
A pytorch reimplementation of Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition in Resnet.
Generic version of the scripts used to deploy the Medical Informatics Platform
SynapsesSA is an R package designed to process and analyze patterns in the three-dimensional spatial distribution of cortical synapses
Generic version of the scripts used to deploy the Medical Informatics Platform
Documentation and knowledge base for the HBP Medical Informatics Platform
Development guidelines for contributors to the platform
The project aims to enhance fine-grained visual recognition accuracy. Integrate Hierarchical Bilinear Pooling (HBP) with ResNet architecture. Leverage ResNet's capabilities and pre-trained parameters. Provide accessibility to the codebase for broader research and adaptation.
Add a description, image, and links to the hbp topic page so that developers can more easily learn about it.
To associate your repository with the hbp topic, visit your repo's landing page and select "manage topics."