بدائل البحث:
policy optimization » topology optimization (توسيع البحث), wolf optimization (توسيع البحث), process optimization (توسيع البحث)
which optimization » weight optimization (توسيع البحث), whale optimization (توسيع البحث), though optimization (توسيع البحث)
binary time » binary image (توسيع البحث)
time policy » crime policy (توسيع البحث), three policy (توسيع البحث)
tiny » ting (توسيع البحث), tina (توسيع البحث), tony (توسيع البحث)
policy optimization » topology optimization (توسيع البحث), wolf optimization (توسيع البحث), process optimization (توسيع البحث)
which optimization » weight optimization (توسيع البحث), whale optimization (توسيع البحث), though optimization (توسيع البحث)
binary time » binary image (توسيع البحث)
time policy » crime policy (توسيع البحث), three policy (توسيع البحث)
tiny » ting (توسيع البحث), tina (توسيع البحث), tony (توسيع البحث)
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Test results of different models on TinyPerson.
منشور في 2025"…These characteristics impose high demands on detection algorithms in terms of fine-grained feature extraction, cross-scale fusion capability, and occlusion resistance.The YOLOv11s model has significant limitations in practical applications: its feature extraction module has a single semantic representation, the traditional feature pyramid network has limited capability to detect multi-scale targets, and it lacks an effective feature compensation mechanism when targets are occluded.To address these issues, we propose a UAV aerial small target detection algorithm named UAS-YOLO (Universal Inverted Bottleneck with Adaptive BiFPN and Separated and Enhancement Attention module YOLO), which incorporates three key optimizations. …"
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Visual comparison of TinyPerson.
منشور في 2025"…These characteristics impose high demands on detection algorithms in terms of fine-grained feature extraction, cross-scale fusion capability, and occlusion resistance.The YOLOv11s model has significant limitations in practical applications: its feature extraction module has a single semantic representation, the traditional feature pyramid network has limited capability to detect multi-scale targets, and it lacks an effective feature compensation mechanism when targets are occluded.To address these issues, we propose a UAV aerial small target detection algorithm named UAS-YOLO (Universal Inverted Bottleneck with Adaptive BiFPN and Separated and Enhancement Attention module YOLO), which incorporates three key optimizations. …"
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Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30.
منشور في 2025الموضوعات: -
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The evolution of the Wireless Power Transfer (WPT) time fraction β over simulation frames.
منشور في 2025الموضوعات: -
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