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A Lightweight Domain Adversarial Neural Network Based on Knowledge Distillation for EEG-based Cross-subject Emotion Recognition
The domain adversarial neural networks (DANN), where the classification loss and domain loss jointly update the parameters of feature extractor, are adopted to deal with the domain shift.
STILN: A Novel Spatial-Temporal Information Learning Network for EEG-based Emotion Recognition
In the temporal contexts learning, we adopt the Bidirectional Long Short-Term Memory Network (Bi-LSTM) network to capture the dependencies among the EEG frames.
Temporal-spatial Representation Learning Transformer for EEG-based Emotion Recognition
Both the temporal dynamics and spatial correlations of Electroencephalogram (EEG), which contain discriminative emotion information, are essential for the emotion recognition.
Towards Trustworthy Multi-label Sewer Defect Classification via Evidential Deep Learning
An automatic vision-based sewer inspection plays a key role of sewage system in a modern city.
ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition
Representing the spatial properties of facial attributes is a vital challenge for facial attribute recognition (FAR).
Accurate Camouflaged Object Detection via Mixture Convolution and Interactive Fusion
Our method detects camouflaged objects with an effective fusion strategy, which aggregates the rich context information from a large receptive field.
