The proceedings contain 10 papers. The special focus in this conference is on Design and Architectures for signal and imageprocessing. The topics include: LiFT: Lightweight, FPGA-Tailored 3D Object Detection Based on...
ISBN:
(纸本)9783031878961
The proceedings contain 10 papers. The special focus in this conference is on Design and Architectures for signal and imageprocessing. The topics include: LiFT: Lightweight, FPGA-Tailored 3D Object Detection Based on LiDAR Data;A Practical HW-Aware NAS Flow for AI Vision applications on Embedded Heterogeneous SoCs;Endoscopy image Classification for Wireless Capsules with CNNs on Microcontroller-Based Platforms;joint Underwater Depth Estimation and Dehazing from a Single image Using Attention U-Net;KD-AHOSVD: Neural Network Compression via Knowledge Distillation and Tensor Decomposition;Novel Scheduling and Shifter Networks for 5G LDPC Decoders;Comparison Between In-Core Hardware IDS, Off-Core Hardware IDS and Software IDS;comparative Study of Memory Optimization Techniques for Dataflow-Modeled applications.
Style transfer is an artistic research topic within a series of generative tasks, and it is quite challenging to stably and reliably guide the generation of images with the expected content and style. Early methods fo...
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Remote sensing image generation is of great value for virtual environment creation and adversarial learning for fake news detection. It could also address the learning sample shortage in the region of interest. Howeve...
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The accelerated urbanization of Bangladesh has hence influenced the structure and systematic composition of landscapes and ecosystems, posing an intricate challenge for managers and urban planners. This study highligh...
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This paper presents an advanced encryption algorithm specifically designed to enhance the security of volumetric medical image data, crucial for the Internet of Medical Things (IoMT). The algorithm encrypts a stack of...
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Recent studies point to an accuracy gap between humans and Artificial Neural Network (ANN) models when classifying blurred images, with humans outperforming ANNs. To bridge this gap, we introduce a spectral channel-ba...
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Capturing document images using handheld mobile devices often results in geometric deformations, which adversely affect the accuracy of Optical Character Recognition (OCR) and document understanding. However, existing...
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Summarization approaches are currently proposed solutions that focus on meaningfully reducing different types of data such as text, audio, and video. Many techniques such as machine learning, signalprocessing, image ...
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Hyperspectral image unmixing estimates a collection of constituent materials (called endmembers) and their corresponding proportions (called abundances), which is a critical preprocessing step in many remote sensing a...
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With the rapid advancement of artificial intelligence, the field of Artificial Intelligence Generated Content (AIGC) has seen significant growth. As AI-generated images (AIGIs) become increasingly prevalent, the AIGC ...
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