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A Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation

Research article (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024) · cited 13× · AI/ML
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A Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation

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A Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation is a scholarly article[1].

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  • A Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-curriculum-style-self-training-approach-for-source-free-semantic-segmentation
MLA “A Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-curriculum-style-self-training-approach-for-source-free-semantic-segmentation.
BibTeX @misc{4ortxyz_a-curriculum-style-self-training-approach-for-source-free-semantic-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/a-curriculum-style-self-training-approach-for-source-free-semantic-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation — https://4ort.xyz/entity/a-curriculum-style-self-training-approach-for-source-free-semantic-segmentation (retrieved 2026-05-24)

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