swjtulinxi's repositories
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
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
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.
yolov5_in_tf2_keras
tf2-keras implement yolov5
yolov7
🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥