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[CVPR 2025 Highlight] Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
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
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
This is an official implementation for "HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery" (CVPR2025)
List of datasets, codes, and contests related to remote sensing change detection
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
A Simple and Versatile Framework for Object Detection and Instance Recognition
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The Winning Solution to the Cultivated land Extraction From High-Resolution Remote Sensing Image Challenge (1 / 486)
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
mxnet source code for the resuneta semantic segmentation models
🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
An Open Source Machine Learning Framework for Everyone