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Jun 2, 2022 · This paper aims at introducing a novel supervised classification algorithm based on covariance pooling of multi-layer convolutional neural network (CNN) ...
This paper aims at introducing a novel supervised classification algorithm based on covariance pooling of multi-layer convolutional neural network (CNN) ...
This paper aims at introducing a novel supervised classification algorithm based on covariance pooling of multi-layer convolutional neural network (CNN) ...
This paper aims at presenting a novel ensemble learning approach based on the concept of covariance pooling of CNN features issued from a pretrained model.
May 8, 2018 · Abstract—This paper proposes a new method, called multi- layer stacked covariance pooling (MSCP), for remote sensing scene classification.
Remote Sensing Scene Classification Based on Covariance Pooling of Multi-layer CNN Features Guided by Saliency Maps. Sara Akodad, Lionel Bombrun, Christian ...
This paper proposes an effective classification model named CNN-MLP to utilize the benefits of these two techniques: CNN and MLP.
Missing: Guided | Show results with:Guided
Sep 1, 2022 · To address the problem of redundant learning in remote sensing scene classification, a method of multi-space-scale frequency covariance pooling (MSFCP) is ...
The experimental results demonstrate that the proposed multilayer stacked covariance pooling method can not only consistently outperform the corresponding ...
Missing: Guided Saliency
Abstract—This paper proposes a novel end-to-end learning model, called skip-connected covariance (SCCov) network, for remote sensing scene classification ...