Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…

Official implementation of the paper "Guided Distillation for Semi-Supervised Instance Segmentation".

ASANet: Asymmetric Semantic Aligning Network for RGB and SAR image land cover classification

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding

[Remote Sensing] AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation

Official repo for "Foundation Models for Remote Sensing and Earth Observation: A Survey"

The official repo for [NeurIPS'21] "ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias" and [IJCV'22] "ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Ima…

The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"

The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"

[Official Repo] CrossEarth: Geospatial Vision Foundation Model for Cross-Domain Generalization in Remote Sensing Semantic Segmentation

pytorch单精度、半精度、混合精度、单卡、多卡（DP / DDP）、FSDP、DeepSpeed模型训练代码，并对比不同方法的训练速度以及GPU内存的使用

Ultralytics YOLO11 🚀

TorchSpatial offers a comprehensive framework and benchmark suite designed to advance Spatial Representation Learning (SRL).

TPAMI：Frequency-aware Feature Fusion for Dense Image Prediction

Oriented object detection on STAR dataset.

PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints Detection

Code for running baseline models/experiments with the Fields of The World dataset

open code for "Occlusion-aware road extraction network for high-resolution remote sensing imagery"

Convert image folder to lmdb, adapted from Efficient-PyTorch

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

GeoMesa is a suite of tools for working with big geo-spatial data in a distributed fashion.

PyTorch code and models for the DINOv2 self-supervised learning method.

My best practice of training large dataset using PyTorch.

The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"