LDeblur: A Lightweight Network for Single Image Deblurring

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 117, P. 164 - 173

Published: Jan. 14, 2025

Language: Английский

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Recognition of Cordyceps Based on Machine Vision and Deep Learning

Agriculture, Journal Year: 2025, Volume and Issue: 15(7), P. 713 - 713

Published: March 27, 2025

In a natural environment, due to the small size of caterpillar fungus, its indistinct features, similar color surrounding weeds and background, overlapping instances identifying fungus poses significant challenges. To address these issues, this paper proposes new MRAA network, which consists feature fusion pyramid network (MRFPN) backbone N-CSPDarknet53. MRFPN is used solve problem weak features. N-CSPDarknet53, Da-Conv module proposed background interference problems in shallow maps. The significantly improves accuracy, achieving an accuracy rate 0.202 APS for small-target recognition, represents 12% increase compared baseline 0.180 APS. Additionally, model (9.88 M), making it lightweight. It easy deploy embedded devices, greatly promotes development application identification.

Language: Английский

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DATDM: Dynamic attention transformer diffusion model for underwater image enhancement

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 126, P. 591 - 604

Published: May 7, 2025

Language: Английский

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GCP-YOLO: a lightweight underwater object detection model based on YOLOv7

Journal of Real-Time Image Processing, Journal Year: 2024, Volume and Issue: 22(1)

Published: Nov. 21, 2024

Language: Английский

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