2022/07/04 · We propose a practical method for filter pruning to provide an optimal network architecture for target capacity and inference acceleration.

2022/07/11 · In this paper, by using structured pruning,. YOLOv5 (an object detection network), is light-weighted to generate a network with a significantly ...

Fingerprint. Dive into the research topics of 'Target Capacity Filter Pruning Method for Optimized Inference Time Based on YOLOv5 in Embedded Systems'.

Therefore, we present a practical network architecture optimization pruning method for improving inference time. Most of the pruning process is performed after ...

2024/08/01 · Target Capacity Filter Pruning Method for Optimized Inference Time Based on YOLOv5 in Embedded Systems. IEEE Access 10: 70840-70849 (2022).

2023/07/25 · Kim, Target capacity filter pruning method for optimized inference time based on yolov5 in embedded systems, IEEE Access 10 (2022) 70840–70849.

Target Capacity Filter Pruning Method for Optimized Inference Time Based on YOLOv5 in Embedded Systems. Article. Full-text available. Jan 2022. Jihun ...

Target capacity filter pruning method for optimized inference time based on YOLOv5 in embedded systems. J Jeon, J Kim, JK Kang, S Moon, Y Kim. IEEE Access 10, ...

... Target Capacity Filter Pruning Method for Optimized Inference Time Based on YOLOv5 in Embedded Systems. Journal Information 2022 · IEEE Access. Identifier ...

Target Capacity Filter Pruning Method for Optimized Inference Time Based on YOLOv5 in Embedded Systems. IEEE Access. 2022 | Journal article. DOI: 10.1109 ...