Instead, we developed a new lightweight encoding and decoding structure known as the lightweight IR small target segmentation network (LW-IRSTNet). This structure integrates regular convolutions, depthwise separable convolutions, atrous convolutions, and asymmetric convolutions modules.

To deploy LW-IRSTNet on different mobile terminals, I uploaded models in different formats, including pkl, onnx, ncnn, tnn, and mnn. I recently uploaded a. tflite format model. This model was deployed on the Xiaomi tablet 6Pro and achieved a good performance of 50FPS.

2023年9月12日 · 相反，我们开发了一种新的轻量级编码和解码结构，称为轻量级红外小目标分割网络（LW-IRSTNet）。 该结构集成了常规卷积、深度可分离卷积、空洞卷积和非对称卷积模块。

2024年6月29日 · LW-DETR-small在各个领域都优于当前的SoTA实时检测器。 特别是对于“文档”和“电磁”领域，作者的LW-DETR明显优于YOLOv5、YOLOv7、RTMDet和YOLOv8（比这四个中的最佳结果高出5.7 AP和5.6 AP）。

2023年3月17日 · To reduce the computational complexity, a lightweight infrared small target segmentation network (LW-IRSTNet) is proposed. The Depthwise separable-Atrous-Asymmetric-Atrous (DAAA) module is...

2025年3月1日 · Jiang proposed a multi-scale feature fusion lightweight small object detection network MFFSODNet [44] to solve the problem of high proportion and dense distribution of small objects. By designing three fine and efficient topologies, E-FPN, PixED Head, and Aux Head, Min proposed LWUAVDet [13] , which is committed to solving the real-time ...

2024年12月24日 · To address these issues, this study proposes a lightweight and high-accuracy small-object detection algorithm for UAV aerial imagery that is based on YOLOv5s. First, the network structure is optimized by removing the layers in YOLOv5s primarily used for detecting large targets (P4 and P5) and adding layers primarily used for detecting small ...

2025年2月18日 · LW-DETR is a light-weight detection tranformer, which outperforms YOLOs for real-time object detection. The architecture is a simple stack of a ViT encoder, a projector, and a shallow DETR decoder.

2024年11月19日 · To address the above challenges, this paper proposes an improved lightweight high-precision model, YOLOv8-E (Enhanced YOLOv8), for the fast and accurate detection and identification of small UAVs in complex environments.

This study proposes LSOD-YOLO, a lightweight small object detection algorithm based on YOLOv8, specifically designed to address these issues. The proposed lightweight cross-layer output reconstruction (LCOR) module enhances small object detection by strengthening the integration of shallow and deep feature information through cross-layer ...

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2024年6月6日 · Mini laptops, with screens smaller than your average 13-inch clamshell and weighing around 3 pounds, can disappear into a bag and won’t weigh you down. Their smaller form factor often comes with longer battery life, making them truly road-ready.

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2005年12月8日 · light weapons reporting, small arms and light weapons are defined as man-portable weapons made or modified to military specifications for use as lethal instruments of war that expel a shot, bullet or projectile by action of an explosive.

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2025年3月5日 · While LLMs have demonstrated remarkable potential in time series forecasting, their practical deployment remains constrained by excessive computational demands and memory footprints. Existing LLM-based approaches typically suffer from three critical limitations: Inefficient parameter utilization in handling numerical time series patterns; Modality misalignment between continuous temporal ...

Instead, we developed a new lightweight encoding and decoding structure known as the lightweight IR small target segmentation network (LW-IRSTNet). This structure integrates regular convolutions, depthwise separable convolutions, atrous convolutions, and asymmetric convolutions modules.

The Small Arms/Light Weapons Destruction Program seeks to destroy surplus and illicit stocks of military SA/LW and associated ammunition, as well as to assist states to properly secure remaining SA/LW stocks required for legitimate defense needs so …