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:

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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

PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs

TSIT: A Simple and Versatile Framework for Image-to-Image Translation

This repo is developed for Strong Baseline For Vehicle Re-Identification in Track 2 Ai-City-2021 Challenges

Object Tracking and Detection Using OpenCV

An official TensorFlow implementation of “CLCC: Contrastive Learning for Color Constancy” accepted at CVPR 2021.

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization'

PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"

Repository For Programmers Seeking a platform to show their skills

This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition.

Custom studies about block sparse attention.

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation

Image Recognition using Pytorch

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

Discovering Dynamic Salient Regions with Spatio-Temporal Graph Neural Networks

Attack on Confidence Estimation algorithm from the paper "Disrupting Deep Uncertainty Estimation Without Harming Accuracy"

Puzzle-CAM: Improved localization via matching partial and full features.

PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric (ICCV 2021)

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

Code for the Image similarity challenge.

a spacial-temporal pattern detection system for home automation

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, and Adrien Gaidon.