RefineNet : Multi-Path Refinement Networks for Dense Prediction
Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense prediction problems such as semantic segmentation and depth estimation. However, repeated subsampling operations like pooling or convolution...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 5 vom: 01. Mai, Seite 1228-1242
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| Auteur principal: |
Lin, Guosheng
(Auteur) |
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| Autres auteurs: |
Liu, Fayao,
Milan, Anton,
Shen, Chunhua,
Reid, Ian |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2020
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
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