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Found 2 papers, 1 papers with code
Self-supervised Learning with Local Attention-Aware Feature
In this work, we propose a novel methodology for self-supervised learning for generating global and local attention-aware visual features.
Speech emotion recognition with deep convolutional neural networks
The speech emotion recognition (or, classification) is one of the most challenging topics in data science.
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