Web24 Mar 2024 · Recently, Han et al. proposed ShipYOLO , which is an improved YOLOv4 detection model with faster speed and higher accuracy. 3 Methodology. The LiDAR based … Web15 Sep 2024 · 5.3K Likes, 39 Comments. TikTok video from 💗•스트레이 키즈•💗 (@yolo.house_edits): "My little darling @ᕮᖱ⫯𝜏 🍓 requested this #ship #shipper #shipping #yolohouse #hellohouse #edit #siajwoo …

(a) ResUnit component of YOLO-V4. (b) RepUnit …

WebThe old version of the code (ShipYOLO) is in "project/ShipYOLO". We also built the code (ShipYOLO-mmdet) based on mmdetection which is in "project/ShipYOLO-mmdet". … WebTable 2: ShipYOLO: An Enhanced Model for Ship Detection . Journals; Publish with us; Publishing partnerships; About us; Blog; Journal of Advanced Transportation. Journal … sampled shapley

ShipYOLO: An Enhanced Model for Ship Detection - Hindawi

WebThe comparison of indicators in different attention mechanisms. Methods. Small ship detection. ShipYOLO. Enhanced YOLOv3-tiny. Ours. 96.35%. 95.50%. WebIn response to this problem, this study uses an improved YOLO-V4 detection model (ShipYOLO) to detect ships.ComparedtoYOLO … The application of ship detection for assistant intelligent ship navigation has stringent requirements for the model’s detection speed and accuracy. In response to this problem, this study uses an improved YOLO-V4 detection model (ShipYOLO) to detect ships. Compared to YOLO-V4, the model has three main … See more With the rapid development of deep learning in recent years, more and more deep learning techniques have been applied to intelligent ships [ 1. Y. Tang and N. Shao, “Design and … See more The YOLO-V4 model consists of a backbone network (CSPDarknet53), a receptive field amplification module (SPP), a feature pyramid (PAFPN), and a detection head … See more This paper proposes an enhanced model based on YOLO-V4 for ship detection. First of all, this paper uses structured reparameterization technology to optimize the backbone network. The new backbone network increases the … See more This paper uses mAP as the model’s accuracy evaluation indicator, where mAP@5 : 5:95 represents the average mAP at different IOU … See more sampled s01