Zmoonzxz

Zmoonzxz's Stars

• OSVAI/ODConv

  The official project website of "Omni-Dimensional Dynamic Convolution" (ODConv for short, spotlight in ICLR 2022).

  Language:Python29626

• GrowingGit/GitHub-Chinese-Top-Charts

  :cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。

  Language:Java99.5k13.2k

• shruti-jadon/Semantic-Segmentation-Loss-Functions

  This Repository is implementation of majority of Semantic Segmentation Loss Functions

  Language:Python55884

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.5k1.9k

• BangguWu/ECANet

  Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

  Language:Python1.3k198

• WZMIAOMIAO/deep-learning-for-image-processing

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

  Language:Python23.4k8k

• TomMao23/multiyolov5

  joint detection and semantic segmentation, based on ultralytics/yolov5,

  Language:Python667147

• 1044197988/Semantic-segmentation-of-remote-sensing-images

  遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

  Language:Python29271

• 1044197988/Python-Image-feature-extraction

  Python实现提取图像的纹理、颜色特征，包含快速灰度共现矩阵（GLCM）、LBP特征、颜色矩、颜色直方图。

  Language:Python39693

• lsh1994/remote_sensing_experiment

  个人的一些遥感图像深度学习实验汇总

  Language:Python194

• CAESAR-Radi/SAR-Ship-Dataset

  395176

• tangtangcoding/C-C-

  程序员相关电子书资料免费分享，欢迎关注个人微信公众号：编程与实战

  4.7k1.2k

• cszn/USRNet

  Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

  Language:Python866115

• vicky2408/CV-CNN

  Language:Matlab53

• OscarWenGang/CV-CNN-enhanced-radar-imaging

  Language:Matlab209

• yanglijay/Radar_img_enhance

  This repository uses RV-CNN to enhance simulated radar image

  Language:Python3

• FadedCosine/Machine-Learning-Algorithm

  【机器学习算法手写实现】决策树、随机森林、Bagging方法等

  Language:Python4

• fudanxu/CV-CNN

  Language:Matlab6434

• aDecisionTree/HRNet_for_PolSAR_seg

  PolSAR data (HH,HV,VH,VV) segmentation

  Language:Python4

• alohaleonardo/Super_Resolution_with_CNNs_and_GANs

  Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

  Language:Jupyter Notebook27675

• binance/binance-spot-api-docs

  Official Documentation for the Binance Spot APIs and Streams

  4k1.3k

• GeneralLi95/PyTorch_UCMerced_LandUse

  Implement of neural networks on 'UC Merced Land Use' dataset with PyTorch

  Language:Python143

• chaozhong2010/SENet-PyTorch

  This is the PyTorch1.0 implement of SENet to train on NWPU-RESISC45 dataset

  Language:Python153

• MUYang99/Pytorch_Remote-Sensing-Image-Classification

  Based on Google Earth remote sensing images of Wuhan in 2016, using pre-trained models Alexnet, VGG11, Resnet-50 and Resnet-101 for transfer learning, the classification model can predict the category of unknown remote sensing images with 90.48% accuracy (ResNet-101)

  Language:Python289

• LirongWu/awesome-graph-self-supervised-learning

  Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

  1.4k168

• denkywu/PolSAR-Calibration

  极化合成孔径雷达，极化定标和校准 相关。Some work I did during my graduate studies (Matlab Code) : (3) Polarimetric SAR (PolSAR) Calibration, including (a) the Whitt algorithm, (b) the Quegan algorithm, (c) the Ainsworth algorithm, (d) the PARC algorithm.

  Language:MATLAB5230