Pinned Repositories
building-extraction
Cell_segmentation_via_TensorRT
TensorRT,Semantic Segmentation
COVIDClassification_FlyAI
flyai, cnn, classification
DifficultBoundaryRepair
semantic segmentation
keypoint_detection
keypoint, deep learning, centernet
onnxruntime_resnet
onnxruntime
plough_extraction
This repo is the pytorch implementation of cropland extraction.
SLP-cropland-parcel-extraction
cropland-parcel extraction
yolov5_rs
remote sensing, object detection, vector
YoloX-TensorRT-webcam
SonwYang's Repositories
SonwYang/SLP-cropland-parcel-extraction
cropland-parcel extraction
SonwYang/building-extraction
SonwYang/plough_extraction
This repo is the pytorch implementation of cropland extraction.
SonwYang/YoloX-TensorRT-webcam
SonwYang/COVIDClassification_FlyAI
flyai, cnn, classification
SonwYang/yolov5_rs
remote sensing, object detection, vector
SonwYang/onnxruntime_resnet
onnxruntime
SonwYang/DifficultBoundaryRepair
semantic segmentation
SonwYang/Cell_segmentation_via_TensorRT
TensorRT,Semantic Segmentation
SonwYang/keypoint_detection
keypoint, deep learning, centernet
SonwYang/gdaltools
gdal
SonwYang/note
日常收集的资料和代码
SonwYang/onnxruntime_segmentation
onnxruntime
SonwYang/road_extraction_via_coanet
SonwYang/aubo_i5_realsense_calibration
SonwYang/Change-Detection-Review
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
SonwYang/GenerativeNegativeSamples
SonwYang/osm_planner
Global planning based openStreetMap
SonwYang/aubo_robot
Developed for aubo robot (http://www.aubo-robotics.cn/)
SonwYang/CenterUnet
CenterUnet: Unet version of CenterNet Objects As Points with mask branch.
SonwYang/CoANet
CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery
SonwYang/DeepCropMapping
Official implementation of "DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping".
SonwYang/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
SonwYang/efficientdet
object detection, deep learning, efficientdet
SonwYang/lio_sam_move_base_tutorial
lio_sam move_base
SonwYang/Multi-task-deep-network
Usage of Multi-task deep learning network for semantic segmentation in medical images
SonwYang/pure_pursuit_simulation
SonwYang/RemoteSensingSceneRecognition
SonwYang/STANet
official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection
SonwYang/YOLOP
You Only Look Once for Panopitic Driving Perception.(https://arxiv.org/abs/2108.11250)