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Keyword: receptive field block ×Clear all

2 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   TRC‐YOLO: A real‐time detection method for lightweight targets based on mobile devices

   Wang, Ding, Yang, Li, Wang and Bao · IET Computer Vision · 2021

   The paper proposes TRC-YOLO, a modified version of YOLO v4-tiny that is smaller, needs less computation and scores higher on detection benchmarks, aimed at mobile and embedded devices.

   Unchecked2 claims
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   1. UncheckedTRC-YOLO is reported to run at 36.9 frames per second on a Jetson Xavier NX and score 66.4 mAP on PASCAL VOC, 3.83 above YOLO v4-tiny.“In addition, TRC‐YOLO achieves a real‐time performance of 36.9 frames per second on a Jetson Xavier NX, and its mAP on the PASCAL VOC dataset is 66.4 (3.83 higher than YOLO v4‐tiny).”
   2. UncheckedOn the MS COCO dataset, the TRC-YOLO detector reaches a mean average precision of 37.7, which is 1.9 higher than the baseline model.“In addition, the mAP of TRC‐YOLO on the MS COCO dataset is 37.7, which is 1.9 higher than that of the baseline model.”