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Improved Faster Region-Based Convolutional Neural Networks (R-CNN) Model Based on Split Attention for the Detection of Safflower Filaments in Natural Environments
Research article (Agronomy, 2023) · cited 17× · AI/ML
Improved Faster Region-Based Convolutional Neural Networks (R-CNN) Model Based on Split Attention for the Detection of Safflower Filaments in Natural Environments
Summary
Improved Faster Region-Based Convolutional Neural Networks (R-CNN) Model Based on Split Attention for the Detection of Safflower Filaments in Natural Environments is a scholarly article[1].
Key Facts
Improved Faster Region-Based Convolutional Neural Networks (R-CNN) Model Based on Split Attention for the Detection of Safflower Filaments in Natural Environments's instance of is recorded as scholarly article[2].
References
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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). Improved Faster Region-Based Convolutional Neural Networks (R-CNN) Model Based on Split Attention for the Detection of Safflower Filaments in Natural Environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/improved-faster-region-based-convolutional-neural-networks-r-cnn-model-based-on-split-attention-for-the-detection-of-saf
MLA“Improved Faster Region-Based Convolutional Neural Networks (R-CNN) Model Based on Split Attention for the Detection of Safflower Filaments in Natural Environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improved-faster-region-based-convolutional-neural-networks-r-cnn-model-based-on-split-attention-for-the-detection-of-saf.
BibTeX@misc{4ortxyz_improved-faster-region-based-convolutional-neural-networks-r-cnn-model-based-on-split-attention-for-the-detection-of-saf_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improved Faster Region-Based Convolutional Neural Networks (R-CNN) Model Based on Split Attention for the Detection of Safflower Filaments in Natural Environments}}, year = {2026}, url = {https://4ort.xyz/entity/improved-faster-region-based-convolutional-neural-networks-r-cnn-model-based-on-split-attention-for-the-detection-of-saf}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improved Faster Region-Based Convolutional Neural Networks (R-CNN) Model Based on Split Attention for the Detection of Safflower Filaments in Natural Environments — https://4ort.xyz/entity/improved-faster-region-based-convolutional-neural-networks-r-cnn-model-based-on-split-attention-for-the-detection-of-saf (retrieved 2026-05-24)
