The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"
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Updated
Dec 20, 2023 - Python
The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"
Awesome Remote Sensing Toolkit based on PaddlePaddle.
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.
The official repo for [IJCAI'24] "LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation"
Open-source code for the paper "Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification"
[IEEE TGRS 2022] Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark
This project is designed to display how we can utilize deep learning methods for Sports Data Analytics.
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.
Scene Classification Dataset
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