Crop mapping from image time series: deep learning with multi-scale label hierarchies (2021-02-17T00:00:00.000000Z)

TL;DR

An end-to-end trainable, hierarchical network architecture allows the model to learn joint feature representations of rare classes at a coarser level, thereby boosting classification performance at the fine-grained level.

Authors

K. Schindler

19 papers

J. D. Wegner

6 papers

Mehmet Ozgur Turkoglu

3 papers

Stefano D'aronco

4 papers

Gregor Perich

1 papers

F. Liebisch

1 papers

Constantin Streit

1 papers

TL;DR

Authors

References82 items

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Statistik

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Learning to Model the Tail

Compared to results in Table 2, scores for each method are decreased in a similar proportion especially in terms of overall accuracy and F1-score