Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark

22 April 2020

Papers citing "Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark"

8 / 8 papers shown

Title
Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework Ryosuke Wayama Yuki Sasaki S. Kagiwada Nobusuke Iwasaki Hitoshi Iyatomi 50 7 0 25 Jul 2024
Self-supervised transformer-based pre-training method with General Plant Infection dataset Zhengle Wang Ruifeng Wang Minjuan Wang Tianyun Lai Man Zhang 96 11 0 20 Jul 2024
Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding Hoang-Quan Nguyen Thanh-Dat Truong Xuan-Bac Nguyen Ashley Dowling Xin Li Khoa Luu VLM 69 20 0 26 Nov 2023
Label-Efficient Learning in Agriculture: A Comprehensive Review Jiajia Li Dong Chen Xinda Qi Zhao Li Yanbo Huang Daniel Morris Xiaobo Tan 87 38 0 24 May 2023
AGI for Agriculture Guoyu Lu Sheng Li Gengchen Mai Jin Sun Dajiang Zhu ... R. Xu Daniel Petti Changying Li Tianming Liu Changying Li AI4CE 98 17 0 12 Apr 2023
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture Jiayun Luo Boyang Albert Li Cyril Leung 138 15 0 20 Oct 2022
Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification Edson Bollis H. Maia Hélio Pedrini Sandra Avila 83 19 0 02 Oct 2021
High performing ensemble of convolutional neural networks for insect pest image detection L. Nanni Alessandro Manfe Gianluca Maguolo A. Lumini S. Brahnam 55 82 0 28 Aug 2021