Discover paulgavrikov/cvpr22w_RobustnessThroughTheLens Open Source

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paulgavrikov

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Official repository of our submission "Adversarial Robustness through the Lens of Convolutional Filters" for the CVPR2022 Workshop "The Art of Robustness: Devil and Angel in Adversarial Machine Learning Workshop"

visualkeras

Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.

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Access Xiaomi MiBand from Android (4.3+) via Bluetooth LE.

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Access Xiaomi MiBand from OS X via Bluetooth LE.

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CNN-Filter-DB

A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR 2022 ORAL)

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parallel-matplotlib-grid

This Python 3 module helps you speedup generation of subplots in pseudo-parallel mode using matplotlib and multiprocessing. This can be useful if you are dealing with expensive preprocessing or plotting tasks such as violin plots per subplot.

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vlm_shapebias

Official code for "Are Vision Language Models Texture or Shape Biased and Can We Steer Them?".

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biases_vs_generalization

Official code for the CVPR 2024 Paper "Can Biases in ImageNet Models Explain Generalization?".

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torchconvquality

A library for PyTorch model convolution quality analysis.

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A small framework to train image classifiers in PyTorch

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adversarial_solarization

Official implementation of Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers

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padding_robustness

Official repository for the ICCVW2023 paper "On the Interplay of Convolutional Padding and Adversarial Robustness".

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Official repository for the CVPRW2023 paper "An Extended Study of Human-like Behavior under Adversarial Training".

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A library for PyTorch convolution layer visualizations.

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diffusion-noise-cls-pytorch

This is an unofficial implementation of the diffusion-style noise frontend in "Intriguing properties of generative classifiers" by Priyank Jaini, Kevin Clark, Robert Geirhos to improve the shape-bias of vision models.

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onnxzoo2filterdb

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paulgavrikov/cvpr22w_RobustnessThroughTheLens

paulgavrikov

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