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RTMFusion: An enhanced dual-stream architecture algorithm fusing RGB and depth features for instance segmentation of tomato organs
Research article (Measurement, 2024) · cited 10× · AI/ML
RTMFusion: An enhanced dual-stream architecture algorithm fusing RGB and depth features for instance segmentation of tomato organs
Summary
RTMFusion: An enhanced dual-stream architecture algorithm fusing RGB and depth features for instance segmentation of tomato organs is a scholarly article[1].
Key Facts
RTMFusion: An enhanced dual-stream architecture algorithm fusing RGB and depth features for instance segmentation of tomato organs's instance of is recorded as scholarly article[2].
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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). RTMFusion: An enhanced dual-stream architecture algorithm fusing RGB and depth features for instance segmentation of tomato organs. Retrieved May 24, 2026, from https://4ort.xyz/entity/rtmfusion-an-enhanced-dual-stream-architecture-algorithm-fusing-rgb-and-depth-features-for-instance-segmentation-of-toma
MLA“RTMFusion: An enhanced dual-stream architecture algorithm fusing RGB and depth features for instance segmentation of tomato organs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rtmfusion-an-enhanced-dual-stream-architecture-algorithm-fusing-rgb-and-depth-features-for-instance-segmentation-of-toma.
BibTeX@misc{4ortxyz_rtmfusion-an-enhanced-dual-stream-architecture-algorithm-fusing-rgb-and-depth-features-for-instance-segmentation-of-toma_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RTMFusion: An enhanced dual-stream architecture algorithm fusing RGB and depth features for instance segmentation of tomato organs}}, year = {2026}, url = {https://4ort.xyz/entity/rtmfusion-an-enhanced-dual-stream-architecture-algorithm-fusing-rgb-and-depth-features-for-instance-segmentation-of-toma}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RTMFusion: An enhanced dual-stream architecture algorithm fusing RGB and depth features for instance segmentation of tomato organs — https://4ort.xyz/entity/rtmfusion-an-enhanced-dual-stream-architecture-algorithm-fusing-rgb-and-depth-features-for-instance-segmentation-of-toma (retrieved 2026-05-24)
