swjtulinxi

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

buildseg

buildseg is a building extraction plugin of QGIS based on ONNX『buildseg是一个基于ONNX的用于建筑提取的QGIS插件』

ChangeFormer

A Transformer-Based Siamese Network for Change Detection

Coarse_LoFTR_TRT

Distilled coarse part of LoFTR adapted for compatibility with TensorRT and embedded divices

Complex-YOLOv4-Pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

ConvNeXt

Code release for ConvNeXt model

Dataset

change detection

deep-learning-for-image-processing

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

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

FarSeg_Paddle

GeoSeg-1

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

GLNet

[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

LoFTR_TRT

TensorRT adaptation of LoFTR: Detector-Free Local Feature Matching with Transformers

LoveDA

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

my_knowledge_base

Opencv-Tensorflow2.x

用opencv调用tensorflow2.x的keras训练的模型

pytorch-YOLOv4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

QuadTreeAttention

QuadTree Attention for Vision Transformers (ICLR2022)

RoofTopSegmatation

Roof Top Segmatation project based on Deeplab v3 plus via pytorch

Semantic-Change-Detection

This repository is for semantic change detection.

Simple-Remote-Sensing-Change-Detection-Framework

A simplified implementation of remote sensing change detection based on pytorch

SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

SuperPoint

Efficient neural feature detector and descriptor

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

UniFormer

[ICLR2022] official implementation of UniFormer

yolo-tensorrt

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

yolov2-yolov3_PyTorch

yolov5_in_tf2_keras

tf2-keras implement yolov5

yolov7

🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥