Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss

Research article (IEEE Transactions on Multimedia, 2020) · cited 49× · AI/ML
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Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss

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Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-crisp-boundaries-using-deep-refinement-network-and-adaptive-weighting-loss
MLA “Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-crisp-boundaries-using-deep-refinement-network-and-adaptive-weighting-loss.
BibTeX @misc{4ortxyz_learning-crisp-boundaries-using-deep-refinement-network-and-adaptive-weighting-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss}}, year = {2026}, url = {https://4ort.xyz/entity/learning-crisp-boundaries-using-deep-refinement-network-and-adaptive-weighting-loss}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss — https://4ort.xyz/entity/learning-crisp-boundaries-using-deep-refinement-network-and-adaptive-weighting-loss (retrieved 2026-05-24)

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