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| Published in: | eLife |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
| Tags: |
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| _version_ | 1864030192568107010 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | eLife |
| description | |
| discipline_display | Natural Sciences |
| discipline_facet | Natural Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:19332 |
| institution | FRELIP |
| journal_source_facet | eLife |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time Biology Natural Sciences — Life Sciences Natural Sciences |
| sub_discipline_display | Natural Sciences — Life Sciences |
| sub_discipline_facet | Natural Sciences — Life Sciences |
| subject_display | Biology Natural Sciences — Life Sciences Natural Sciences Biology Natural Sciences — Life Sciences Natural Sciences |
| subject_facet | Biology Natural Sciences — Life Sciences Natural Sciences |
| title | New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time |
| title_auth | New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time |
| title_full | New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time |
| title_fullStr | New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time |
| title_full_unstemmed | New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time |
| title_short | New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time |
| title_sort | new idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time |
| topic | Biology Natural Sciences — Life Sciences Natural Sciences |
| url | https://elifesciences.org/articles/107602 |