With the rapid growth of multimedia data, multimodal retrieval has become an important research field. multimodal retrieval is a retrieval task involving multiple media types (such as text, image, audio, etc.). With t...
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In modern surveillance, activities have increasingly become dependent on the continuous observation offered by CCTV systems. Still, with massive amounts of video data generated in a minute, sifting through this inform...
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With the increasing number of antennas in massive MIMO systems, traditional signal detection algorithms are faced with the challenge of increasing computing load and decreasing detection performance. To solve this pro...
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Wide application of millions of connected, intelligent, and flexible gadgets in critical infrastructures like medical facilities, public transit, sustainability, and home automation has been driven by latest expansion...
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multi-camera is widely used in systems such as optoelectronic pods and security cameras;However, the optical axis deviation problem in multi-camera systems has a great impact on the measurement precision and accuracy ...
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With the development of precision animal husbandry technology, the automatic identification of individual cows has become essential. Traditional methods face limitations such as low efficiency, high cost, and vulnerab...
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This research proposes a novel cross-modal approach to sentiment analysis that integrates textual, audio, and visual modalities to enhance the accuracy and depth of emotion recognition. By combining textual features (...
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This paper presents an approach for comparing the results of Web service rankings based on quality characteristics obtained using the multi-criteria decision-making method, Logic Scoring of Preference (LSP), with rank...
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To improve the accuracy of determining the consistency of multi-source radar and infrared sensor tracks in dense target scenarios, a multi-source distributed radar-infrared track consistency determination method is pr...
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Learning models that have been known to multi-task are gaining too much attention in various fields. One such area of work where multi-tasking models are extracting hopeful outcomes is Autonomous Driving. Panoptic Dri...
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