Weakening the dominant role of text: CMOSI dataset and multimodal semantic enhancement network

C Jin, C Luo, M Yan, G Zhao, G Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multimodal sentiment analysis (MSA) is important for quickly and accurately understanding
people's attitudes and opinions about an event. However, existing sentiment analysis …

[HTML][HTML] Intelligent generation of Peking opera facial masks with deep learning frameworks

M Yan, R Xiong, Y Shen, C Jin, Y Wang - Heritage Science, 2023 - Springer
The production of traditional Peking opera facial masks often relies on hand painting by
experienced painters, which restricts the inheritance and development of this intangible …

[HTML][HTML] A feature fusion model with data augmentation for speech emotion recognition

Z Tu, B Liu, W Zhao, R Yan, Y Zou - Applied Sciences, 2023 - mdpi.com
The Speech Emotion Recognition (SER) algorithm, which aims to analyze the expressed
emotion from a speech, has always been an important topic in speech acoustic tasks. In …

[HTML][HTML] UAV-assisted traffic speed prediction via gray relational analysis and deep learning

Y Zheng, J Luo, Y Qiao, H Gao - Drones, 2023 - mdpi.com
Accurate traffic prediction is crucial to alleviating traffic congestion in cities. Existing physical
sensor-based traffic data acquisition methods have high transmission costs, serious traffic …

[HTML][HTML] DPACFuse: Dual-Branch Progressive Learning for Infrared and Visible Image Fusion with Complementary Self-Attention and Convolution

H Zhu, H Wu, X Wang, D He, Z Liu, X Pan - Sensors, 2023 - mdpi.com
Infrared and visible image fusion aims to generate a single fused image that not only
contains rich texture details and salient objects, but also facilitates downstream tasks …

[HTML][HTML] Movie Scene Event Extraction with Graph Attention Network Based on Argument Correlation Information

Q Yi, G Zhang, J Liu, S Zhang - Sensors, 2023 - mdpi.com
Movie scene event extraction is a practical task in media analysis, which aims at extracting
structured events from unstructured movie scripts. However, although there have been many …

Pruning method for dendritic neuron model based on dendrite layer significance constraints

X Luo, X Wen, Y Li, Q Li - CAAI Transactions on Intelligence …, 2023 - Wiley Online Library
The dendritic neural model (DNM) mimics the non‐linearity of synapses in the human brain
to simulate the information processing mechanisms and procedures of neurons. This …

[HTML][HTML] TSML: A New Pig Behavior Recognition Method Based on Two-Stream Mutual Learning Network

W Hao, K Zhang, L Zhang, M Han, W Hao, F Li, G Yang - Sensors, 2023 - mdpi.com
Changes in pig behavior are crucial information in the livestock breeding process, and
automatic pig behavior recognition is a vital method for improving pig welfare. However …

Deep learning's fitness for purpose: A transformation problem frame's perspective

H Gudaparthi, N Niu, Y Yang… - CAAI Transactions …, 2023 - Wiley Online Library
Combined sewer overflows represent significant risks to human health as untreated water is
discharged to the environment. Municipalities, such as the Metropolitan Sewer District of …

[HTML][HTML] LightSeg: Local Spatial Perception Convolution for Real-Time Semantic Segmentation

X Lei, J Liang, Z Gong, Z Jiang - Applied Sciences, 2023 - mdpi.com
Semantic segmentation is increasingly being applied on mobile devices due to
advancements in mobile chipsets, particularly in low-power consumption scenarios …