HPNet: Deep Primitive Segmentation Using Hybrid Representations

Research article (2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021) · cited 49× · AI/ML
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HPNet: Deep Primitive Segmentation Using Hybrid Representations

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HPNet: Deep Primitive Segmentation Using Hybrid Representations is a scholarly article[1].

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  • HPNet: Deep Primitive Segmentation Using Hybrid Representations's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). HPNet: Deep Primitive Segmentation Using Hybrid Representations. Retrieved May 24, 2026, from https://4ort.xyz/entity/hpnet-deep-primitive-segmentation-using-hybrid-representations
MLA “HPNet: Deep Primitive Segmentation Using Hybrid Representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hpnet-deep-primitive-segmentation-using-hybrid-representations.
BibTeX @misc{4ortxyz_hpnet-deep-primitive-segmentation-using-hybrid-representations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HPNet: Deep Primitive Segmentation Using Hybrid Representations}}, year = {2026}, url = {https://4ort.xyz/entity/hpnet-deep-primitive-segmentation-using-hybrid-representations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HPNet: Deep Primitive Segmentation Using Hybrid Representations — https://4ort.xyz/entity/hpnet-deep-primitive-segmentation-using-hybrid-representations (retrieved 2026-05-24)

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