Due to the availability of highly scalable and reasonably priced infrastructure, software, and platform services, many enterprises are moving their on-premise artificial intelligence workloads to the cloud. The study ...
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SpireMetrics, a web-based platform, facilitates the collection and analysis of student feedback on current semester subjects, assessing faculty performance in areas like subject knowledge and doubt resolution. Ensurin...
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Radio Frequency Identification (RFID) system is widely used in archives management, intelligent warehousing, and other industries due to the advantages of insensitivity to liquid, controllable reading range and high r...
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In today's world, scientific and technological intelligence information presents challenges such as insufficient annotated samples in interdisciplinary and specialized fields, the continuous emergence of new techn...
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Blockchain-based product tracking creates anirreversible and permanent ledger of a product's whole lifespan, from conception to final delivery, revolutionizing supply chain management. This technique creates a tra...
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Research in this field has been provoked by the developing interest in human-computer interaction. Also, normal client interfacing and encounters (NUI/NUX) that make use of a user's discourse and developments have...
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The pervasive presence of social media platforms has turned them into reservoirs of human emotions, providing a distinctive perspective into the intricate tapestry of digital sentiments. This research delves into the ...
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Many neurogenerative diseases affect today's generation. The causes of this condition are unclear. Alzheimer's disease is one of that diseases, and elderly peoples suffer a lot from this. In this article, we a...
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The objective of image-based virtual try-on is to seamlessly integrate clothing onto a target image, generating a realistic representation of the character in the specified attire. However, existing virtual try-on met...
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The objective of image-based virtual try-on is to seamlessly integrate clothing onto a target image, generating a realistic representation of the character in the specified attire. However, existing virtual try-on methods frequently encounter challenges, including misalignment between the body and clothing, noticeable artifacts, and the loss of intricate garment details. To overcome these challenges, we introduce a two-stage high-resolution virtual try-on framework that integrates an attention mechanism, comprising a garment warping stage and an image generation stage. During the garment warping stage, we incorporate a channel attention mechanism to effectively retain the critical features of the garment, addressing challenges such as the loss of patterns, colors, and other essential details commonly observed in virtual try-on images produced by existing methods. During the image generation stage, with the aim of maximizing the utilization of the information proffered by the input image, the input features undergo double sampling within the normalization procedure, thereby enhancing the detail fidelity and clothing alignment efficacy of the output image. Experimental evaluations conducted on high-resolution datasets validate the effectiveness of the proposed method. Results demonstrate significant improvements in preserving garment details, reducing artifacts, and achieving superior alignment between the clothing and body compared to baseline methods, establishing its advantage in generating realistic and high-quality virtual try-on images.
Aiming at the huge and discrete storage of quality problem data in aerospace model quality management, a method for improving the efficiency of finding aerospace quality information by constructing a knowledge graph o...
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