Polye-Fly

Polye-Fly's Stars

• NVlabs/SegFormer

  Official PyTorch implementation of SegFormer

  Language:Python2.4k334

• yuanmaoxun/Awesome-RGBT-Fusion

  A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking.

  26532

• taochx/MSNet

  multispectral semantic segmentation network for remote sensing images

  Language:Python334

• iibrahimli/unet_sem_seg

  Semantic segmentation of satellite imagery using U-nets (U-nets: https://arxiv.org/abs/1505.04597)

  Language:Python153

• dengxl0520/MemSAM

  [CVPR 2024 Oral] MemSAM: Taming Segment Anything Model for Echocardiography Video Segmentation.

  Language:Python1039

• u2takey/ffmpeg-go

  golang binding for ffmpeg

  Language:Go1.6k165

• gwuhaolin/livego

  live video streaming server in golang

  Language:Go9.6k2k

• Mr-bart/chatgpt-uniapp

  java开发的chatgpt小程序 前端使用uniapp 可打包多端运行 APP H5 公众号 小程序等 ,三级分销,卡密充值,提供opai的反向代理,具体看图,后续增加PC版本,文心一言、通义千问等功能

  Language:Vue61

• xurui-joei/DBCTNet

  The pytorch implement of DBCTNet

  Language:Python4

• flyzzie/TGRS-GSC-VIT

  Language:Python62

• suvojit-0x55aa/A2S2K-ResNet

  A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

  Language:Python18737

• danfenghong/IEEE_TGRS_SpectralFormer

  Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Spectralformer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021

  Language:Python20638

• ckn3/SA-Recon

  Shape-adaptive Reconstruction

  Language:MATLAB4

• DotWang/DCN-T

  [TIP 2023] The official repo for the paper "DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification".

  Language:Python393

• ucalyptus/BS-Nets-Implementation-Pytorch

  BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image

  Language:Jupyter Notebook214

• mqalkhatib/Real_Complex_Classification

  Attention based Dual-Branch Complex Feature Fusion Network for Hyperspectral Image Classification

  Language:Python92

• nshaud/DeepHyperX

  Deep learning toolbox based on PyTorch for hyperspectral data classification.

  Language:Python424120

• mhaut/hyperspectral_deeplearning_review

  Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

  Language:Python18354

• qichaoliu/CNN_Enhanced_GCN

  Q. Liu, L. Xiao, J. Yang and Z. Wei, "CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3037361.

  Language:Python13928

• xmba15/yolov3_pytorch

  bird detection by yolov3

  Language:Python305

• yangyangtiaoguo/GBDD-1433-2023

  GBDD-1433-2023 dataset official download address

  5

• YeRen123455/Infrared-Small-Target-Detection

  Language:Python31045

• fengyiwu98/RPCANet

  [WACV2024] Official implementation of paper "RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection".

  Language:Python251

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  174k50.8k

• praveenjaikant/XRayImageClassification

  A hybrid neural network model consisting of a CNN LSTM architecture for our binary image classification problem.

  Language:Jupyter Notebook82

• AllentDan/LibtorchTutorials

  This is a code repository for pytorch c++ (or libtorch) tutorial.

  Language:C++706121

• FuSiry/OpenSA

  Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process, a complete algorithm library is established, which is named opensa (openspectrum analysis).

  Language:Python13730

• serbuh/OV2311

  Language:C1

• yuebaii/books

  Linux，网络编程，C/C++，操作系统，网络，设计模式，数据库等相关书籍

  21591

• ppogg/YOLOv5-Lite

  🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

  Language:C++2.2k399