One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning
Summary
One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning is a scholarly article[1].
Key Facts
One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning'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). One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/one-stage-deep-edge-detection-based-on-dense-scale-feature-fusion-and-pixel-level-imbalance-learning
MLA“One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/one-stage-deep-edge-detection-based-on-dense-scale-feature-fusion-and-pixel-level-imbalance-learning.
BibTeX@misc{4ortxyz_one-stage-deep-edge-detection-based-on-dense-scale-feature-fusion-and-pixel-level-imbalance-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning}}, year = {2026}, url = {https://4ort.xyz/entity/one-stage-deep-edge-detection-based-on-dense-scale-feature-fusion-and-pixel-level-imbalance-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): One-Stage Deep Edge Detection Based on Dense-Scale Feature Fusion and Pixel-Level Imbalance Learning — https://4ort.xyz/entity/one-stage-deep-edge-detection-based-on-dense-scale-feature-fusion-and-pixel-level-imbalance-learning (retrieved 2026-05-24)
