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L-YOLOv4: lightweight YOLOv4 based on modified RFB-s and depthwise separable convolution for multi-target detection in complex scenes
Research article (Journal of Real-Time Image Processing, 2023) · cited 20× · AI/ML
L-YOLOv4: lightweight YOLOv4 based on modified RFB-s and depthwise separable convolution for multi-target detection in complex scenes
Summary
L-YOLOv4: lightweight YOLOv4 based on modified RFB-s and depthwise separable convolution for multi-target detection in complex scenes is a scholarly article[1].
Key Facts
L-YOLOv4: lightweight YOLOv4 based on modified RFB-s and depthwise separable convolution for multi-target detection in complex scenes'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). L-YOLOv4: lightweight YOLOv4 based on modified RFB-s and depthwise separable convolution for multi-target detection in complex scenes. Retrieved May 24, 2026, from https://4ort.xyz/entity/l-yolov4-lightweight-yolov4-based-on-modified-rfb-s-and-depthwise-separable-convolution-for-multi-target-detection-in-co
MLA“L-YOLOv4: lightweight YOLOv4 based on modified RFB-s and depthwise separable convolution for multi-target detection in complex scenes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/l-yolov4-lightweight-yolov4-based-on-modified-rfb-s-and-depthwise-separable-convolution-for-multi-target-detection-in-co.
BibTeX@misc{4ortxyz_l-yolov4-lightweight-yolov4-based-on-modified-rfb-s-and-depthwise-separable-convolution-for-multi-target-detection-in-co_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{L-YOLOv4: lightweight YOLOv4 based on modified RFB-s and depthwise separable convolution for multi-target detection in complex scenes}}, year = {2026}, url = {https://4ort.xyz/entity/l-yolov4-lightweight-yolov4-based-on-modified-rfb-s-and-depthwise-separable-convolution-for-multi-target-detection-in-co}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): L-YOLOv4: lightweight YOLOv4 based on modified RFB-s and depthwise separable convolution for multi-target detection in complex scenes — https://4ort.xyz/entity/l-yolov4-lightweight-yolov4-based-on-modified-rfb-s-and-depthwise-separable-convolution-for-multi-target-detection-in-co (retrieved 2026-05-24)
