Dynamic Weighted Cross Entropy for Semantic Segmentation with Extremely Imbalanced Data

Research article (2019 International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), 2019) · cited 29× · AI/ML
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Dynamic Weighted Cross Entropy for Semantic Segmentation with Extremely Imbalanced Data

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Dynamic Weighted Cross Entropy for Semantic Segmentation with Extremely Imbalanced Data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Dynamic Weighted Cross Entropy for Semantic Segmentation with Extremely Imbalanced Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-weighted-cross-entropy-for-semantic-segmentation-with-extremely-imbalanced-data
MLA “Dynamic Weighted Cross Entropy for Semantic Segmentation with Extremely Imbalanced Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-weighted-cross-entropy-for-semantic-segmentation-with-extremely-imbalanced-data.
BibTeX @misc{4ortxyz_dynamic-weighted-cross-entropy-for-semantic-segmentation-with-extremely-imbalanced-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic Weighted Cross Entropy for Semantic Segmentation with Extremely Imbalanced Data}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-weighted-cross-entropy-for-semantic-segmentation-with-extremely-imbalanced-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dynamic Weighted Cross Entropy for Semantic Segmentation with Extremely Imbalanced Data — https://4ort.xyz/entity/dynamic-weighted-cross-entropy-for-semantic-segmentation-with-extremely-imbalanced-data (retrieved 2026-05-24)

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