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Updated: Feb 19, 2026

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
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Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

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TransUTD: 水中クロスドメインの協働型時空変圧器検出器

Bingxun Zhao1, Xiao Han1, Ruihao Sui1

  • 1School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, 264209, China.

Neural networks : the official journal of the International Neural Network Society
|February 17, 2026
PubMed
まとめ

Transformer Underwater Spatial-Temporal Cross-domain Collaborative Detection (TransUTD) は,水中のオブジェクトの検出を改善するためにビデオシーケンスを利用しています. 水中のオブジェクトの検出を改善するためにビデオシーケンスを利用しています. 時間の情報を使用して劣化した画像を強化し,ベンチマークデータセットで最先端の結果を得ます.

キーワード:
空間時間的なシーケンスの理解水中のオブジェクト検出装置ビデオオブジェクト検出ビジョントランスフォーマー ビジョントランスフォーマー

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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