Multi-Task Learning for Dense Prediction Tasks : A Survey
With the advent of deep learning, many dense prediction tasks, i.e., tasks that produce pixel-level predictions, have seen significant performance improvements. The typical approach is to learn these tasks in isolation, that is, a separate neural network is trained for each individual task. Yet, rec...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 7 vom: 03. Juli, Seite 3614-3633
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| Auteur principal: |
Vandenhende, Simon
(Auteur) |
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| Autres auteurs: |
Georgoulis, Stamatios,
Van Gansbeke, Wouter,
Proesmans, Marc,
Dai, Dengxin,
Van Gool, Luc |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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