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[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
VMamba: Visual State Space Models，code is based on mamba
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
The implementations of "Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation with Transformer"
End-to-end workflow for generating high resolution cropland maps
2022阿里天池真实场景篡改图像检测挑战赛-冠军方案（1/1149）
[IGARSS 2022] CapFormer: Pure transformer for remote sensing image caption
a tool to convert .shp file (ArcGIS format) to .json file (COCO datasets).
We propose a new method for effective shadow removal by regarding it as an exposure fusion problem.
Code from the winning submissions for the On Cloud N: Cloud Cover Detection Challenge
Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery
How to train an instance segmentation model with mmdetection
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
Deep learning models for change detection of remote sensing images
The pytorch implementation for "SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images"
Games: Create interesting games in pure python.
DeepLabV3+ implemented in TensorFlow2.0
Translation plugin for IntelliJ based IDEs/Android Studio.
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥