🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Games: Create interesting games in pure python.

VMamba: Visual State Space Models，code is based on mamba

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model

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"

2022阿里天池真实场景篡改图像检测挑战赛-冠军方案（1/1149）

my_custom_mmdetection

a tool to convert .shp file (ArcGIS format) to .json file (COCO datasets).

The implementations of "Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation with Transformer"

Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery