[CVPR 2025] DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation & [ICLR 2024] DFormer & [NeuriPS 2025] OmniSegmentor

A deep learning based crop growth model

Hyperspectral Python

Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类

收录及复现的高光谱遥感图像分类模型

SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

[CVPR 2025] This is a model aggregated with CLIP and SAM version of SkySense for remote sensing interpretation described in SkySense-O: Towards Open-World Remote Sensing Interpretation with Vision-…

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

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Algorithms and Data Structures implemented in Go for beginners, following best practices.

[CVPR 2025 Highlight] Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation

Containers for machine learning

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

[ACMMM-25] Official repo of "RemoteSAM: Towards Segment Anything for Earth Observation"

Open source remote sensing dataset with benchmarks

InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition (NeurIPS 2025)

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

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

[AAAI2025] Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection

A Unified Remote Sensing Object Detector Based on Fourier Contour Parametric Learning