Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
| Published in: | IEEE Access |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1864030192708616194 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | IEEE Access |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:45765 |
| institution | FRELIP |
| journal_source_facet | IEEE Access |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| 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 |