Trained convnet models
- Owner: Vladimir Risojevic
- Created on Dec 28, 2017
- Access: Public
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Ratko Pilipović
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Vladimir Risojević
Description:
Convnet models trained from scratch on a HRRS image dataset.
- Grant Number: H2020 Research Infrastructures contract no. 675121 (project VI-SEEM)
- Abstract: Code and pretrained convnet models for classification of high resolution remote sensing (HRRS) images. The convnets are trained/fine-tuned on publicly available AID dataset of HRRS images (http://captain.whu.edu.cn/project/AID/). The collection contains the following datasets: Trained convnet models - models trained from scratch on AID dataset Fine-tuned convnet models - models pretrained on ImageNet and fine-tuned on AID dataset Tools & Results - code of an experimental framework for training and testing different convnet topologies for HRRS image classification, conference paper and presentation.
- Primary/Initial Publication: R. Pilipović and V. Risojević, “Evaluation of Convnets for Large-Scale Scene Classification From High-Resolution Remote Sensing Images”, In Proc. 17th International Conference on Smart Technologies, IEEE EUROCON 2017, pp. 932-937. IEEE, 2017
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