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Webinar Preview | Building a Professional Network in Scholarly Communications. Join us on Wednesday, September 18, for valuable insights on effectively building a network in a hybrid …September 11, 2024 SSP UK Regional MeetUp (in conjunction with...
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SSPNet is a network that uses scale selection pyramid to detect tiny persons in aerial images. The repository contains the code, data, requirements, and citation for SSPNet, as well as the paper and visualization results.
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SSPNet is a network for detecting tiny objects in large-scale images captured by Unmanned Aerial Vehicles (UAVs). It consists of three modules: Context Attention, Scale …
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SSPNet is a novel network for detecting tiny objects in large-scale images captured by unmanned aerial vehicles (UAVs). It consists of three modules: context attention, …
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SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images (IEEE GRSL 2021) 🌟 We have released the latest version for SSPNet(recommend!). News
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SSPNet is a network for detecting tiny objects in large-scale images captured by UAVs. It consists of three modules: Context Attention, Scale Enhancement, and Scale Selection, and a Weighted Negative Sampling strategy.
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In this paper, we propose a Scale Selection Pyramid network (SSPNet) for tiny person detection, which consists of three components: Context Attention Module (CAM), Scale Enhancement …
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In this article, we propose a scale selection pyramid network (SSPNet) for tiny person detection, which consists of three components: context attention module (CAM), scale …
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In this paper, we propose a Scale Selection Pyramid network (SSPNet) for tiny person detection, which consists of three components: Context Attention Module (CAM), Scale Enhancement Module (SEM), and Scale …
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- 7 yrs old
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SSPNet is a novel network that improves tiny person detection from UAV images by mitigating the inconsistency in gradient computation across different layers. It consists of three modules: …
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