Official Codes for Graph Modularity:Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks.

Last update: Dec 14, 2022

Overview

Dynamic-Graphs-Construction

Official Codes for Graph Modularity:Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks.

We give an example to understand the dynamic graphs: we leverage pretrained ResNet18 (Top1 acc: 94.78%) on CIFAR-10 to extract feature representations. Then we set N = 50, k = 3 for dynamic graphs construction. The result is shown in the gif below: Note that nodes of the same color represent samples of the same class. The darker the color of the edge, the higher the similarity between the two corresponding nodes. The modularity curve of this dynamic graph:

Owner

GitHub Repository

2021:"Bridging Global Context Interactions for High-Fidelity Image Completion"

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Source code for the paper "SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text" PACLIC 2021

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AI Flow is an open source framework that bridges big data and artificial intelligence.

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A fast model to compute optical flow between two input images.

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Implement object segmentation on images using HOG algorithm proposed in CVPR 2005

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Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral

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AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

AugMix Introduction We propose AugMix, a data processing technique that mixes augmented images and enforces consistent embeddings of the augmented ima

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Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather

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A deep learning CNN model to identify and classify and check if a person is wearing a mask or not.

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Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

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Official Codes for Graph Modularity:Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks.

Related tags

Overview

Dynamic-Graphs-Construction

Owner

2021:"Bridging Global Context Interactions for High-Fidelity Image Completion"

Experiments for distributed optimization algorithms

Source code for the paper "SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text" PACLIC 2021

Adversarial Framework for (non-) Parametric Image Stylisation Mosaics

AI Flow is an open source framework that bridges big data and artificial intelligence.

Adversarially Learned Inference

A fast model to compute optical flow between two input images.

Implement object segmentation on images using HOG algorithm proposed in CVPR 2005

Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Official implementation of NeurIPS'2021 paper TransformerFusion

Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather

A deep learning CNN model to identify and classify and check if a person is wearing a mask or not.

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Pytorch implementation of set transformer

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection

Joint deep network for feature line detection and description

JAX-based neural network library

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)