Abstract: Image emotion classification is an important computer vision task to extract emotions from images. The methods for image emotion classification (IEC) are primarily based on label or ...
Feb. 22nd, 2024: We released our paper on Arxiv. Further details can be found in code and our updated arXiv. Weakly supervised visual recognition using inexact supervision is a critical yet ...
This repo attempts to proposes a supervised learning algorithm of SNN by using spike sequences with complex spatio-temporal information. We explore an error back ...
The recognition of tooth-marked tongues has important value for clinical diagnosis of traditional Chinese medicine. Tooth-marked tongue is often related to spleen deficiency, cold dampness, sputum, ...
Spiking neural network (SNN) is considered to be the brain-like model that best conforms to the biological mechanism of the brain. Due to the non-differentiability of the spike, the training method of ...
Abstract: Due to the spectral diversity of objects within the same classes and the spectral similarity between different classes, classical fuzzy classification methods perform poorly in multispectral ...
1 Department of Civil Engineering, Tshwane University Technology, Pretoria, South Africa. 2 Department of Civil Engineering, Vaal University of Technology, Vanderbijlpark, South Africa. 3 Department ...
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