...-time autonomous systems. To address this limitation, this study proposes UniPercepNet-S, a unified and lightweight framework that concurrently performs object detection and instance segmentation. Inspired by YOLOF, the proposed model avoids FPN and integrates attention mechanisms to improve feature...

... of an attention mechanism further enhances the model’s capacity by emphasizing critical terms, thereby improving the precision of sensitive information classification. Findings The effectiveness of the proposed model, CGDSClass, was validated through comparative analysis with nine existing models across two...

...), convolutional neural networks (CNN) and an attention mechanism, resulting in the Bidirectional Gated Recurrent Units Convolution Attention (BiGRU-CNN-AT) model. The BiGRU captures potential semantic features, the CNN extracts local features and the attention mechanism identifies keywords critical...

... Licensed re-use rights only Key-frame extraction Audiovisual interaction and fusion Attention mechanism Emotion recognition Intra-modality interaction Cross-modality interaction National Natural Science Foundation of China 62107032 Recently, automatic emotion recognition...

...-based spatial-temporal graph neural networks. A graph convolutional network is used to extract local spatial-temporal correlations, a channel attention mechanism is used to enhance the influence of nearby spatial-temporal dependencies on decision-making and a transformer mechanism is used to capture...

... is proposed in this paper. This model introduces the radical and part-of-speech features based on the character and word features, with the application of bidirectional long short-term memory, attention mechanism and recurrent convolutional neural network. Findings The comparative experiments showed...