Awesome Remote Sensing Toolkit based on PaddlePaddle.
The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"
This repository contains all necessary meta information, results and source files to reproduce the results in the publication Eric Müller-Budack, Kader Pustu-Iren, Ralph Ewerth: "Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification", In: European Conference on Computer Vision (ECCV), Munich, 2018.
微调 Inception-ResNet-V2, 解决 AI Challenger 2017 场景分类问题。
SoundPy (alpha stage) is a research-based python package for speech and sound. Applications include deep-learning, filtering, speech-enhancement, audio augmentation, feature extraction and visualization, dataset and audio file conversion, and beyond.
This is the implement of the paper "DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding"
[ICASSP 2025] Open-source code for the paper "Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification"
This project is designed to display how we can utilize deep learning methods for Sports Data Analytics.
The official repo for [IJCAI'24] "LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation"
[IEEE TGRS 2022] Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark
Solution of Intel scene classification problem | 95.4 % Accuracy | 5th rank
Scene classification baseline. Test Acc:90.14%
🧠 The core system of photos.network an open-source project for a self-hosted photo management application
Official source code of the paper: Perturbation Seeking Generative Adversarial Networks: A Defense Framework for Remote Sensing Image Scene Classification
Backdoor Attacks for Remote Sensing Data with Wavelet Transform
Spatial Pyramid Matching for Scene Classification
🖼️ Scene classification system created in Java with OpenIMAJ
This repository houses a comprehensive deep learning-based system for the scene classification of very high-resolution satellite imagery, focusing on post-earthquake damage assessment. The primary case study involves the devastating earthquakes that occurred in Kahramanmaraş province, Türkiye, in 2023.
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