f251422

CSP_Informer_LSTM_CNN_Life_Prediction

Prediction-of-PM2.5-concentration-based-on-the-CEEMDAN-RLMD-BILSTM-LEC-model

superblack.github.io

A novel time series forecasting model, called CEEMDAN-TCN.

cv_note

记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

Fake-News-Detection-using-Hybrid-BiLSTM-TCN-Model-with-Attention-Mechanism

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

vision_transformer

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)"

torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

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.

grad-cam

[ICCV 2017] Torch code for Grad-CAM

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

Rice-Disease-Detection-With-ResNet-ans-Self_Attention

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