Techniques for deep learning with satellite & aerial imagery

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

用于遥感图像场景分析的中文多模态大模型 | Chinese multimodal large-scale model for remote sensing image scene analysis

[CVMJ2024] Learning Accurate Template Matching with Differentiable Coarse-to-fine Correspondence Refinement

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

A public Dataset for Fine-Grained Ship Classification in Remote sensing images

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

YOLOv10: Real-Time End-to-End Object Detection

Official implementation for DMNet: Density map guided object detection in aerial image (CVPR 2020 EarthVision workshop)

Stable Diffusion web UI

Single Image Crowd Counting via MCNN (Unofficial Implementation)

从letpub爬取基金题目等信息

The sample code for a large-scale crowd counting dataset, NWPU-Crowd.

[ICLR 2020] Lite Transformer with Long-Short Range Attention

在YOLOv7的基础上使用KLD损失修改为旋转目标检测yolov7-obb

A2-Nets: Double Attention Networks. NIPS 2018

SKT distillation (ACM MM 2020)

Dataset Augmentation for Dota Tags

A dataset built by Central South University for urban scene classification

收录及复现的高光谱遥感图像分类模型

Object Detection on Spacenet

Buildings detection from satellite imagery (8 and 3 bands images) using 2 object detectors : YOLO and Faster RCNN

Demonstration of Using TensorFlow Object Detection API against SpaceNet Data

A sample project demonstrating how to extract building footprints from satellite images using a semantic segmentation model. Data from the SpaceNet Challenge.