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Found 4 papers, 2 papers with code
Unveiling Comparative Sentiments in Vietnamese Product Reviews: A Sequential Classification Framework
Comparative opinion mining is a specialized field of sentiment analysis that aims to identify and extract sentiments expressed comparatively.
Leaf Recognition Using Convolutional Neural Networks Based Features
In recent years, there is a considerable increase in the number of studies related to plant taxonomy.
Binarizing MobileNet via Evolution-based Searching
Inspired by one-shot architecture search frameworks, we manipulate the idea of group convolution to design efficient 1-Bit Convolutional Neural Networks (CNNs), assuming an approximately optimal trade-off between computational cost and model accuracy.
MoBiNet: A Mobile Binary Network for Image Classification
MobileNet and Binary Neural Networks are two among the most widely used techniques to construct deep learning models for performing a variety of tasks on mobile and embedded platforms. In this paper, we present a simple yet efficient scheme to exploit MobileNet binarization at activation function and model weights.
