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Tianyang Li's Projects

arcgis-osm-editor icon arcgis-osm-editor

ArcGIS Editor for OpenStreetMap is a toolset for GIS users to access and contribute to OpenStreetMap through their Desktop or Server environment.

awesome-free-chatgpt icon awesome-free-chatgpt

🆓免费的 ChatGPT 镜像网站列表,持续更新。List of free ChatGPT mirror sites, continuously updated.

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-sar icon awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

basic_cnns_tensorflow2 icon basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

caffe icon caffe

Caffe: a fast open framework for deep learning.

changeformer icon changeformer

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

coanet icon coanet

CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery

cvpr_2021_papers icon cvpr_2021_papers

CVPR2021最新论文汇总,主要包括:Transformer, NAS,模型压缩,模型评估,图像分类,检测,分割,跟踪,GAN,超分辨率,图像恢复,去雨,去雾,去模糊,去噪,重建等等

d2det icon d2det

D2Det: Towards High Quality Object Detection and Instance Segmentation (CVPR2020)

darknet icon darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

davit icon davit

Code for paper "DaViT: Dual Attention Vision Transformer"

dda_urbanextraction icon dda_urbanextraction

Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data

deformable-detr icon deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

detr icon detr

End-to-End Object Detection with Transformers

efficientnet icon efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

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