Работы, цитирующие эту работу

Работ: 3

Работа: Squeeze-and-Excitation Networks

1. Efficient-CapsNet: capsule network with self-attention routing

   Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge

   ПрепринтAdvanced Neural Network ApplicationsScientific Reports2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.preprint.000002

2. Tomato Pests and Diseases Identification Tool Based on Improved YOLOv5

   Ru Jiang, Nodirbek Yusupbekov

   ГлаваSmart Agriculture and AILecture notes in networks and systems2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.chapter.000485

3. MSRA-Net: A Multi-Task Learning Model for Soil Texture Prediction with Dynamic Weighting and Prior Knowledge Soft Constraints

   Yun Deng, Xu Yongjian, Yuanyuan Shi

   СтатьяSoil Geostatistics and MappingSensors2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002457