BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation

Research article (2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021) · cited 36× · AI/ML
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BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation

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BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/bimal-bijective-maximum-likelihood-approach-to-domain-adaptation-in-semantic-scene-segmentation
MLA “BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bimal-bijective-maximum-likelihood-approach-to-domain-adaptation-in-semantic-scene-segmentation.
BibTeX @misc{4ortxyz_bimal-bijective-maximum-likelihood-approach-to-domain-adaptation-in-semantic-scene-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/bimal-bijective-maximum-likelihood-approach-to-domain-adaptation-in-semantic-scene-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation — https://4ort.xyz/entity/bimal-bijective-maximum-likelihood-approach-to-domain-adaptation-in-semantic-scene-segmentation (retrieved 2026-05-24)

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