Работы, цитирующие эту работу

Работ: 2

Работа: YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

1. Small target detection algorithm based on SAHI-Improved-YOLOv8 for UAV imagery: A case study of tree pit detection

   Xiuhao Liang, Jun Xiang, Sheng Qin +7

   СтатьяAdvanced Neural Network ApplicationsSmart Agricultural Technology2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000809

2. YOLOv9-Based Detection of Diseases in Poplar Trees Using Histogram Equalization and Computer Vision

   Fazliddin Makhmudov, Kudratjon Zohirov, Jura Kuvandikov +6

   СтатьяSmart Agriculture and AISensors2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.020377