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Weakly Supervised Attention-based Models Using Activation Maps for
  Citrus Mite and Insect Pest Classification

Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification

2 October 2021
Edson Bollis
H. Maia
Hélio Pedrini
Sandra Avila
ArXivPDFHTML

Papers citing "Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification"

3 / 3 papers shown
Title
Self-supervised transformer-based pre-training method with General Plant
  Infection dataset
Self-supervised transformer-based pre-training method with General Plant Infection dataset
Zhengle Wang
Ruifeng Wang
Minjuan Wang
Tianyun Lai
Man Zhang
29
8
0
20 Jul 2024
Label-Efficient Learning in Agriculture: A Comprehensive Review
Label-Efficient Learning in Agriculture: A Comprehensive Review
Jiajia Li
Dong Chen
Xinda Qi
Zhao Li
Yanbo Huang
Daniel Morris
Xiaobo Tan
31
34
0
24 May 2023
Embrace Limited and Imperfect Training Datasets: Opportunities and
  Challenges in Plant Disease Recognition Using Deep Learning
Embrace Limited and Imperfect Training Datasets: Opportunities and Challenges in Plant Disease Recognition Using Deep Learning
Mingle Xu
H. Kim
Jucheng Yang
A. Fuentes
Yao Meng
Sook Yoon
Taehyun Kim
D. Park
20
17
0
19 May 2023
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