Improved Lightweight Multi Target Recognition Model For Live Streaming
Sep 10 2023 nbsp 0183 32 This paper aims to consider the diversity of live streaming devices and proposes an extremely lightweight and high precision model to meet different requirements in live
Li Zongwei Qiao Kai Chen Jianing Li Zhenyu Zhang Yanhui , Feb 17 2025 nbsp 0183 32 Li Zongwei Qiao Kai Chen Jianing Li Zhenyu Zhang Yanhui 2023 Improved Lightweight Multi Target Recognition Model for Live Streaming Scenes Applied Sciences 13
Research On Multi Target Detection Method Based On YOLOv8 In Multi Scenes
Mar 22 2025 nbsp 0183 32 Aiming at the current mainstream target detection algorithms in a variety of different scenarios for multi target detection still exists in the target scale dif
Lightweight Multi Target Recognition Model For Live, Jan 2 2024 nbsp 0183 32 Subjects Computer Science Artificial Intelligence Contributor Zongwei Li Kai Qiao Jianing Chen Zhenyu Li Yanhui Zhang racting the attention of marketers and researchers
Image Small Target Detection In Complex Traffic Scenes Based On
Image Small Target Detection In Complex Traffic Scenes Based On , Jul 1 2025 nbsp 0183 32 Addressing the challenging issues in small target detection within complex traffic scenes such as scale variation complex background noise and the problems of missed and
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Applied Sciences Free Full Text Improved Lightweight Multi Target
Applied Sciences Free Full Text Improved Lightweight Multi Target Sep 10 2023 nbsp 0183 32 article pdf uploaded
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During live streaming the visuals can be effectively captured by algorithms thereby providing additional data support This paper aims to consider the diversity of Zongwei LI Shanghai Institute Of Technology Shanghai School . Oct 13 2024 nbsp 0183 32 In response to these challenges we improve and optimize the multi target recognition model from the perspective of multi scale information fusion and propose RBs Sep 1 2023 nbsp 0183 32 Our improved MobileNetV3 CA network architecture overcomes the limitations of YOLOv5 providing more possibilities for lightweight models and its weight has been greatly
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