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A. Proof of Thm. 4.34
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References
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Poly-cam: high resolution class activation map for convolutional neural networks
The demand for explainable AI continues to rise alongside advancements in deep learning technology. Existing methods such as convolutional neural...
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Re-initialization-Free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation
Variational level set method has become a powerful tool in image segmentation due to its ability to handle complex topological changes and maintain...
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Transmission-guided multi-feature fusion Dehaze network
Image dehazing is an important direction of low-level visual tasks, and its quality and efficiency directly affect the quality of high-level visual...
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Transfer learning for emotion detection in conversational text: a hybrid deep learning approach with pre-trained embeddings
Understanding the emotions and sentiments from conversations has relevance in many application areas. Specifically, conversational agents,...
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Real-time salient object detection based on accuracy background and salient path source selection
Boundary and connectivity prior are common methods for detecting the image salient object. They often address two problems: 1) if the salient object...
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YOLO-FGD: a fast lightweight PCB defect method based on FasterNet and the Gather-and-Distribute mechanism
With the rapid expansion of the electronics industry, the demand for high-quality printed circuit boards has surged. However, existing PCB defect...
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Deep attentive multimodal learning for food information enhancement via early-stage heterogeneous fusion
In contrast to single-modal content, multimodal data can offer greater insight into food statistics more vividly and effectively. But traditional...
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FastBeltNet: a dual-branch light-weight network for real-time conveyor belt edge detection
Belt conveyors are widely used in multiple industries, including coal, steel, port, power, metallurgy, and chemical, etc. One major challenge faced...
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Spatio-temporal wind speed forecasting with approximate Bayesian uncertainty quantification
The prediction of short- and long-term wind speed has great utility for the industry, especially for wind energy generation. Deep neural networks can...
