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DPNet: Dual-Path Network for Real-time Object Detection with
https://arxiv.org/abs/2209.13933
WEBSep 28, 2022 · To address these problems, this paper presents a dual-path network, named DPNet, with a lightweight attention scheme for real-time object detection. The dual-path architecture enables us to parallelly extract high-level semantic features and …
DA: 84 PA: 95 MOZ Rank: 22
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DPNet: Dual-Path Network for Real-time Object Detection with
https://github.com/Huiminshii/DPNet
WEBWe provide colab tutorial, and full guidance for quick run with existing dataset and with new dataset for beginners. There are also tutorials for finetuning models, adding new dataset, designing data pipeline, customizing models, customizing runtime settings and useful tools.
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DPNet
http://dpnet.org.np/
WEBMar 14, 2024 · About us. Disaster Preparedness Network-Nepal (DPNet), established in 1996, stands as a key national umbrella organization dedicated to enhancing disaster management in Nepal through a unified approach involving national and international agencies. The core focus of DPNet is on fostering coordination, collaboration, learning, …
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JOURNAL OF LA DPNet: Dual-Path Network for Real-time …
https://arxiv.org/pdf/2209.13933
WEBTo address these problems, this paper presents a dual-path network, named DPNet, with a lightweight attention scheme for real-time object detection. The dual-path architecture enables us to parallelly extract high-level semantic features and low-level object details.
DA: 92 PA: 38 MOZ Rank: 42
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arXiv:2111.00500v1 [cs.CV] 31 Oct 2021
https://arxiv.org/pdf/2111.00500
WEBpaper presents a dual path network, named DPNet, for ef-ficient object detection with lightweight self-attention. In backbone, a single input/output lightweight self-attention module (LSAM) is designed to encode global interactions between different positions. LSAM is also extended into a multiple-inputs version in feature pyramid network (FPN),
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DPNet: Dual-Path Network for Real-time Object Detection with
https://www.semanticscholar.org/paper/DPNet%3A-Dual-Path-Network-for-Real-time-Object-with-Zhou-Shi/e8b5b6e34b0f988cb0e75ca88b3ffa7b329245e3
WEBSep 28, 2022 · This paper presents a dual-path network, named DPNet, with a lightweight attention scheme for real-time object detection, and demonstrates that DPNet achieves state-of-the-art trade-off between detection accuracy and implementation efficiency.
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DPNET: Dual-Path Network for Efficient Object Detection with
https://ieeexplore.ieee.org/document/9897803/
WEBTo address the trade-off be-tween computational cost and detection accuracy, this paper presents a dual path network, named DPNet, for efficient object detection with lightweight self-attention. In backbone, a single input/output lightweight self-attention module (LSAM) is designed to encode global interactions between different positions.
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DPNet-Nepal (Disaster Preparedness Network Nepal) | Sphere
https://spherestandards.org/focal-points/dpnet-nepal-disaster-preparedness-network-nepal/
WEBDescription. Established in 1996, DPNet-Nepal is a network of international and national NGOs, UN agencies, Academia sector working in the field of Disaster Risk Reduction and Management in Nepal.
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DPNet
https://dpnet.org.np/news/detail/shaping-disaster-response-with-technological-innovation
WEBMay 20, 2023 · In a collaborative effort, the United Nations World Food Programme (WFP) and Disaster Preparedness Network Nepal (DPNet) unveiled the Resilience Assessment and Adaptation for Critical InfrastructurE (RA2CE) tool on May 19th, 2023, aimed at improving emergency responses in Nepal.
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DPNet: Dual-Path Network for Real-time Object Detection with
https://www.researchgate.net/publication/363923080_DPNet_Dual-Path_Network_for_Real-time_Object_Detection_with_Lightweight_Attention
WEBSep 28, 2022 · DPNet: Dual-Path Network for Real-time Object Detection with Lightweight Attention | Request PDF. Preprint. DPNet: Dual-Path Network for Real-time Object Detection with Lightweight...
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