Scale-invariant-CNNs/Implementation.md at master · wsgdrfz/Scale-invariant-CNNs · GitHub

Study the Scale Invariance or Equivariance Convolutional Neural Network - wsgdrfz/Scale-invariant-CNNs

SIE-CNNs Implementation (PyTorch) All the implementation can be found in our GitHub. All the coding is done in PyTorch, and the code introduced in this documentation can be found under src/pytorch/. Code Sturcture Make_datasets_Scale.py: Generate scale dataset from the original one, for example, from MNIST to scale-MNIST. Standard_CNN.py: The baseline, a standard convolutional neural network with 3 convolution layers and 2 fully connected layers. SI_ConvNet.py: The implementation of [1]. class ScaleInvariance_Layer: The scale-invariance layer inherit from nn.Module including the…

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• Alexander Davies

related reading

• Scale-Invariant CNNarxiv.org
• Locally Scale-Invariant Convolutional NeuralNetworksarxiv.org
• An Analysis of Scale Invariance in Object Detection SNIP - Singh_An_Analysis_of_CVPR_2018_paper.pdfopenaccess.thecvf.com
• [1711.08189] An Analysis of Scale Invariance in Object Detection - SNIParxiv.org
• [1810.13128] The Effect of Learning Strategy versus Inherent Architecture Properties on the Ability of Convolutional Neural Networks to Develop Transformation Invariancearxiv.org
• Scale-Invariant Recognition by Weight-Shared CNNs in Parallelproceedings.mlr.press
• Meauring Invariances in Deep Networksai.stanford.edu
• Naturally Occurring Equivariance in Neural Networksdistill.pub
• CS231n Deep Learning for Computer Visioncs231n.github.io
• Aman's AI Journal • Primers • Ilya Sutskever's Top 30aman.ai
• [1905.11946] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networksarxiv.org
• Convolutional Neural Networks, Explained | Towards Data Sciencetowardsdatascience.com