f251422's starred repositories
superblack.github.io
A novel time series forecasting model, called CEEMDAN-TCN.
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
ST-CausalConvNet
A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.
PaddleSpatial
PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
University_project_vmd_majorization
使用vmd算法对含有噪声的图像信号进行分解,去除掉噪声信号,将剩余信号合成,得到去噪声图像。分别使用alo、ao、ga、gwo、mpa、spo、woa算法对vmd算法中的参数进行优化,实现快速、准确的完成图像信号的分解。
Face-Recognition-Flask-GUI
A face recognition demo system based on Flask and HTML. Available methods include EigenFace, LBP, and ResNet-based deep learning
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Transformer-in-Vision
Recent Transformer-based CV and related works.
classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
fpn_resnet-resnet-se-resnet-cbam
fpn_resnet、resnet-se、resnet-cbam
ResNet-50-CBAM-PyTorch
Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Grad-CAM.pytorch
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
Grad-CAM-tensorflow
tensorflow implementation of Grad-CAM (CNN visualization)
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
VSEpp-Text-Image-Retrieve
基于VSE++论文复现的基础上进行了一些改进。涉及Bi-GRU、VGG、ResNet、 attention-layer、Bert、VIT等
Attention-Mechanism-Optimized-ResNet50
in this project i use resnet 50 as the base model, i include Feature fusion layers and then add CBAM mechanisms after the fused layers, this showed a 2% improvemet over the feature fusion model and also a 6% improvement over the base resnet50 model
ResNet-Transformer-OCR-Pytorch
ResNet for License Plate Detection & Multi-Head Self Attention Transformer for OCR
Prune-CBAM-ResNet
code of “Enhancing Adversarial Defense for Medical Image Analysis Systems with Pruning and Attention Mechanism”
pca-ResNet-fault-diagnosis
An Adaptive Multi-Channel Attention Method for Fault Diagnosis