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Found 6 papers, 1 papers with code
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition
In this paper, we propose a Gated Multi-scale Temporal Convolutional Network (GM-TCNet) to construct a novel emotional causality representation learning component with a multi-scale receptive field.
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for the Single-Corpus and Cross-Corpus Speech Emotion Recognition
For the single-corpus task, the combination of Convolution-Pooling and Attention CapsNet module CPAC) is designed by embedding the self-attention mechanism to the CapsNet, guiding the module to focus on the important features that can be fed into different capsules.
Efficient Neural Network Approaches for Leather Defect Classification
Genuine leather, such as the hides of cows, crocodiles, lizards and goats usually contain natural and artificial defects, like holes, fly bites, tick marks, veining, cuts, wrinkles and others.
Integrated Neural Network and Machine Vision Approach For Leather Defect Classification
Leather is a type of natural, durable, flexible, soft, supple and pliable material with smooth texture.
Evaluation of the Spatio-Temporal features and GAN for Micro-expression Recognition System
In this paper, we first review the processes of a conventional optical-flow-based recognition system, which comprised of facial landmarks annotations, optical flow guided images computation, features extraction and emotion class categorization.
Facial Expression Recognition
Micro Expression Recognition
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A Novel ECOC Algorithm with Centroid Distance Based Soft Coding Scheme
Instead, we propose a Centroid distance-based Soft coding scheme to indicate such tendency, named as CSECOC.
