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multi-scene-recognition

open-cd

A Change Detection Repo Standing on the Shoulders of Giants

panet

PANet for Instance Segmentation and Object Detection

prcv2021_changedetection_top3

PRCV2021变化检测竞赛第三名解决方案

pytorch-lightning-template

An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.

remote_sensing_change_detection

an unoffice reimpliment for main remote sensing change detection network. including CDNet FC-EF FC-EF-conc FC-EF-diff FC-EF-Res FCN-PP UNet_ASPP UNet++ and some work of main

rsmlr

rsprompter

This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"

samed

The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"

scalecontrolagent

scribformer

[IEEE Transactions on Medical Imaging/TMI] This repository is the official implementation of the paper ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation.

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

sparse-vit-wsss

Code repository for Hanna, J., Mommert, M., & Borth, D. (2023). Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation, In CVPRW EarthVision 2023

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

techniques

Techniques for deep learning with satellite & aerial imagery

torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

tsan

A Two Stage Adaptation Network (TSAN) for remote sensing images classification under single-source-mixed-multiple-target domain adaptation scenario

unet-tensorflow

Tensorflow implement of U-Net

unet-zoo

including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.

ustc-cs-courses-resource

:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)

weaksam

WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition

web-dev-for-beginners

24 Lessons, 12 Weeks, Get Started as a Web Developer

yunlv-admin

yunlv-connect-the-dorms