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YOLOv7-TS: A Traffic Sign Detection Model Based on Sub-Pixel Convolution and Feature Fusion

Research article (Sensors, 2024) · cited 21× · AI/ML
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YOLOv7-TS: A Traffic Sign Detection Model Based on Sub-Pixel Convolution and Feature Fusion

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YOLOv7-TS: A Traffic Sign Detection Model Based on Sub-Pixel Convolution and Feature Fusion is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). YOLOv7-TS: A Traffic Sign Detection Model Based on Sub-Pixel Convolution and Feature Fusion. Retrieved May 24, 2026, from https://4ort.xyz/entity/yolov7-ts-a-traffic-sign-detection-model-based-on-sub-pixel-convolution-and-feature-fusion
MLA “YOLOv7-TS: A Traffic Sign Detection Model Based on Sub-Pixel Convolution and Feature Fusion.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/yolov7-ts-a-traffic-sign-detection-model-based-on-sub-pixel-convolution-and-feature-fusion.
BibTeX @misc{4ortxyz_yolov7-ts-a-traffic-sign-detection-model-based-on-sub-pixel-convolution-and-feature-fusion_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{YOLOv7-TS: A Traffic Sign Detection Model Based on Sub-Pixel Convolution and Feature Fusion}}, year = {2026}, url = {https://4ort.xyz/entity/yolov7-ts-a-traffic-sign-detection-model-based-on-sub-pixel-convolution-and-feature-fusion}, note = {Accessed: 2026-05-24}}
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