UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image …

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

remote sensing images fusion,a topic similar to super resolution

This is a list of awesome methods about data augmentation.

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

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

A playbook for systematically maximizing the performance of deep learning models.

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。

A re-implementation of PanNet (PanNet: A deep network architecture for pan-sharpening)

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

This repo contains all of my TensorFlow tutorials