VGI-Enhanced multimodal large language model for remote sensing images.

Based on ChatPaper. Added analysis of experiment of the paper, optimized the format of markdown files. Use ChatGPT to better summarize the arXiv papers.

Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022)

OBBDetection is an oriented object detection library, which is based on MMdetection.

DehazeZoo for collecting dehazing methods, datasets, and codes.

OpenMMLab Detection Toolbox and Benchmark

[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

List of datasets, codes, and contests related to remote sensing change detection

Resources for deep learning with satellite & aerial imagery

interactive notebooks from Planet Engineering

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Keras-Semantic-Segmentation

Image augmentation for machine learning experiments.

An Open Source Machine Learning Framework for Everyone

TensorFlow examples

🙄 difficult algorithm, simple code.

D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.0下运行。

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

TensorFlow in Practice Specialization

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

deeplearning.ai course notebooks

The 3rd edition of course.fast.ai

Sample notebooks for Kaggle competitions

My notes for coursera course AI TensorFlow in Practice Specialization.

xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.

some loss functions of image segmentation

Generic U-Net Tensorflow implementation for image segmentation