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Name: Jonas
Type: User
Name: Jonas
Type: User
高鲁棒性要求下的领域事件检测任务baseline,转化为ner的形式做任务
Adapting Multi-source Representations for Cross-Domain Few-shot Learning (CD-FSL)
A curated list of awesome self-supervised methods
D. Frantz, F. Schug, A. Okujeni, C. Navacchi, W. Wagner, S. van der Linden, and P. Hostert (2021): National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series. Remote Sensing of Environment 252, 112128. https://doi.org/10.1016/j.rse.2020.112128
Python3生成汉字字库并转换为图片
We address the problem of cross-modal information retrieval in the domain of remote sensing. In particular, we are interested in two application scenarios: i) cross-modal retrieval between panchromatic (PAN) and multispectral imagery, and ii) multi-label image retrieval between very high resolution (VHR) images and speech-based label annotations. These multi-modal retrieval scenarios are more challenging than the traditional uni-modal retrieval approaches given the inherent differences in distributions between the modalities. However, with the increasing availability of multi-source remote sensing data and the scarcity of enough semantic annotations, the task of multi-modal retrieval has recently become extremely important. In this regard, we propose a novel deep neural network-based architecture that is considered to learn a discriminative shared feature space for all the input modalities, suitable for semantically coherent information retrieval. Extensive experiments are carried out on the benchmark large-scale PAN - multispectral DSRSID dataset and the multi-label UC-Merced dataset. Together with the Merced dataset, we generate a corpus of speech signals corresponding to the labels. Superior performance with respect to the current state-of-the-art is observed in all the cases.
CPU-Benchmark CPU单核多核跑分图
this is all of my code and data with my deep learning note
A novel deep hashing method (DHCNN) for remote sensing image retrieval and classification, which was pulished in IEEE Trans. Geosci. Remote Sens., 2021.
SOTA Re-identification Methods and Toolbox
The project shows how we can build an API using Django/GeoDjango, the Django Rest framework, Django-rest-framework-gis, and output data (from a PostgreSQL database) in a format that is GeoJSON compatible. The API is used in a Vue application which displays data randomly on a web map (Leaflet) using polling.
中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
An image retrieval and matching method based on color histogram.
李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes
Source code for paper "Similarity Search in High Dimensions via Hashing" on VLDH-1999
OpenLayers map marker popup. Map delivery area. Find location from address, geolocation. Multiple markers with html popups. Import and export polygon with openlayers map..
practical guides, tutorials, and code samples for ml4a
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Self-Supervised Learning Toolbox and Benchmark
A treasure chest for visual recognition powered by PaddlePaddle
PV plant vector dataset of China for year 2023.
The GEE code for PV power stations classification based on Sentinel-2 imagery and DEM data. The code is written in JavaScript, including all the mentioned steps in the paper, A 10-m national-scale map of ground-mounted photovoltaic power stations in China of 2020, including feature calculation, random forest training, etc.
Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
Learning mappings to generate city maps images from corresponding satellite images.
Repository for machine learning and remote sensing pipeline described in Kruitwagen, L., Story, K., Friedrich, J, et. al. (2019) , used to produce a global inventory of utility-scale solar photvoltaic generating stations.
C# version of Sound Shape Code(SSC)
Feature Extraction is an integral step for Image Processing jobs. This repository contains the python codes for Traditonal Feature Extraction Methods from an image dataset, namely Gabor, Haralick, Tamura, GLCM and GLRLM.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.