Home ›
Entities
› academia
› Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation
Research article (Neural Networks, 2023) · cited 11× · AI/ML
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation
Summary
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation is a scholarly article[1].
Key Facts
Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/performance-estimation-for-the-memristor-based-computing-in-memory-implementation-of-extremely-factorized-network-for-re
MLA“Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/performance-estimation-for-the-memristor-based-computing-in-memory-implementation-of-extremely-factorized-network-for-re.
BibTeX@misc{4ortxyz_performance-estimation-for-the-memristor-based-computing-in-memory-implementation-of-extremely-factorized-network-for-re_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/performance-estimation-for-the-memristor-based-computing-in-memory-implementation-of-extremely-factorized-network-for-re}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Performance estimation for the memristor-based computing-in-memory implementation of extremely factorized network for real-time and low-power semantic segmentation — https://4ort.xyz/entity/performance-estimation-for-the-memristor-based-computing-in-memory-implementation-of-extremely-factorized-network-for-re (retrieved 2026-05-24)
