Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.
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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
Public attack-verifiable receipt and rapid reproduction protocol for the operator-observed Liris SH-before-light event.
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.
Development guidelines for contributors to the platform
Public Liris-seat receipt for the original LX chain language, token savings, LX/IX catalog anchors, and HBP/HBI sidecars.
To associate your repository with the hbp topic, visit your repo's landing page and select "manage topics."