Jun 12, 2023 · This paper proposes a multi-channel convolutional neural network (MC-CNN) for classifying memes and non-memes.
Mar 23, 2024 · This paper proposes a multi-channel convolutional neural network (MC-CNN) for classifying memes and non-memes. Our architecture is trained ...
Feb 10, 2021 · I am currently training an inception v3 network to classify images into 2 classes. My inputs data are fluorescence images containing 5 channels, ...
This work attempts to classify meme vs nonmeme, by leveraging techniques like Siamese network and canonical correlation analysis (CCA).
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This paper proposes a multi-channel convolutional neural network (MC-CNN) for classifying memes and non-memes. Our architecture is trained and validated on a ...
Multichannel-CNN for multivariate sequence data analysis. Proposed model is designed for gas mixture classification with multiple sensor responses.
Missing: Meme | Show results with:Meme
This paper proposes a multi-channel convolutional neural network (MC-CNN) for classifying memes and non-memes that outperforms previous meme classifiers ...
Mar 6, 2022 · This study proposed a novel multi-channel convolutional neural network (CNN) architecture to address the multi-class classification task of thyroid disease.
Missing: Meme | Show results with:Meme
A Multi-Channel Bio-Signal Based Sleep Stages Classification Method ...
pubmed.ncbi.nlm.nih.gov › ...
A novel multi-channel-based 3D convolutional neural network (3D-CNN) is proposed in this paper to classify sleep stages.