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RUOD-R: A High-Fidelity Re-Annotated Benchmark for Underwater Object Detection

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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spellingShingle RUOD-R: A High-Fidelity Re-Annotated Benchmark for Underwater Object Detection
Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
subject_facet Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
title RUOD-R: A High-Fidelity Re-Annotated Benchmark for Underwater Object Detection
title_auth RUOD-R: A High-Fidelity Re-Annotated Benchmark for Underwater Object Detection
title_full RUOD-R: A High-Fidelity Re-Annotated Benchmark for Underwater Object Detection
title_fullStr RUOD-R: A High-Fidelity Re-Annotated Benchmark for Underwater Object Detection
title_full_unstemmed RUOD-R: A High-Fidelity Re-Annotated Benchmark for Underwater Object Detection
title_short RUOD-R: A High-Fidelity Re-Annotated Benchmark for Underwater Object Detection
title_sort ruod-r: a high-fidelity re-annotated benchmark for underwater object detection
topic Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
url http://ieeexplore.ieee.org/document/11483160