Pytorch Pyramid Pooling
This Module implements Spatial Pyramid Pooling (SPP) and Temporal Pyramid Pooling (TPP) as described in different papers.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Keras Spp | 360 | 7 years ago | 1 | June 24, 2021 | 15 | mit | Python | |||
| Spatial pyramid pooling layers for keras | ||||||||||
| Spp_net | 349 | 8 years ago | 19 | Matlab | ||||||
| SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition | ||||||||||
| Pytorch Spynet | 285 | 6 months ago | gpl-3.0 | Python | ||||||
| a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch | ||||||||||
| Spynet | 152 | 4 years ago | 2 | other | Lua | |||||
| Spatial Pyramid Network for Optical Flow | ||||||||||
| Sppnet | 105 | 6 years ago | 3 | Python | ||||||
| Spatial Pyramid Pooling on top of AlexNet using tensorflow. ***New updates for SPPnet in Pytorch** | ||||||||||
| Pg_bow_demo | 92 | 8 years ago | 1 | C++ | ||||||
| Image Classification using Bag of Words and Spatial Pyramid BoW | ||||||||||
| Image Recognition | 62 | 6 years ago | 1 | Python | ||||||
| Recognize images using Spatial Pyramid Matching & Earth Mover's Distance | ||||||||||
| Image Recognition | 44 | 7 years ago | 1 | Python | ||||||
| Image recognition methods from bag of words (BoW), Spatial Pyramid Matching (SPM), Sparse Codeing SPM (ScSPM) to convolutional neural networks (CNN) | ||||||||||
| Spatial Pyramid Matching Scene Recognition | 18 | 6 years ago | 1 | Jupyter Notebook | ||||||
| Trained a classifier to recognize 3000 images with 15 categories using Bag of Features model and Spatial Pyramid Matching algorithm. Improved accuracy from ~50% to ~70% | ||||||||||
| Imdescrip | 17 | 7 years ago | lgpl-3.0 | Python | ||||||
| A collection of python tools for extracting descriptors from images (whole and sub-image descriptors). | ||||||||||
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