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Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications

Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications

21 September 2021
Sai Vidyaranya Nuthalapati
Anirudh Tunga
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Papers citing "Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications"

4 / 4 papers shown
Title
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
A Survey of Computer Vision Technologies In Urban and
  Controlled-environment Agriculture
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture
Jiayun Luo
Boyang Albert Li
Cyril Leung
46
11
0
20 Oct 2022
Few-shot Partial Multi-view Learning
Few-shot Partial Multi-view Learning
Yuanen Zhou
Yanrong Guo
Shijie Hao
Richang Hong
Jiebo Luo
22
1
0
05 May 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
314
11,681
0
09 Mar 2017
1