Evaluating a foundation model for animal body segmentation based on few-shot learning against a domain-specific deep neural network

被引:0
|
作者
Casella, Enrico [1 ]
Dorea, Joao R. R. [1 ]
机构
[1] Univ Wisconsin, Madison, WI 53706 USA
关键词
computer vision; deep learning; foundation models;
D O I
10.1093/jas/skae234.243
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
431
引用
收藏
页码:207 / 208
页数:2
相关论文
共 50 条
  • [21] A fault diagnosis method for few-shot industrial processes based on semantic segmentation and hybrid domain transfer learning
    Ying Tian
    Yiwei Wang
    Xin Peng
    Wei Zhang
    Applied Intelligence, 2023, 53 : 28268 - 28290
  • [22] Hybrid neural network model for large-scale heterogeneous classification tasks in few-shot learning
    Qian, Kui
    Wen, Xiulan
    Song, Aiguo
    VISUAL COMPUTER, 2022, 38 (02): : 719 - 728
  • [23] A fault diagnosis method for few-shot industrial processes based on semantic segmentation and hybrid domain transfer learning
    Tian, Ying
    Wang, Yiwei
    Peng, Xin
    Zhang, Wei
    APPLIED INTELLIGENCE, 2023, 53 (23) : 28268 - 28290
  • [24] Hybrid neural network model for large-scale heterogeneous classification tasks in few-shot learning
    Kui Qian
    Xiulan Wen
    Aiguo Song
    The Visual Computer, 2022, 38 : 719 - 728
  • [25] Tagging Items with Emerging Tags: A Neural Topic Model Based Few-Shot Learning Approach
    Che, Shangkun
    Liu, Hongyan
    Liu, Shen
    ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2024, 42 (04)
  • [26] Image Recognition of Mine Water Inrush Based on Bilinear Convolutional Neural Network with Few-Shot Learning
    Zhang, Shuai
    Du, Yuanze
    Zhao, Yingwang
    Zhou, Lifu
    ACS OMEGA, 2024, 9 (10): : 12027 - 12036
  • [27] Design of Assessment Judging Model for Physical Education Professional Skills Course Based on Convolutional Neural Network and Few-Shot Learning
    Chen, Qingjie
    Dong, Minkai
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [28] Convolutional Shrinkage Neural Networks Based Model-Agnostic Meta-Learning for Few-Shot Learning
    He, Yunpeng
    Zang, Chuanzhi
    Zeng, Peng
    Dong, Qingwei
    Liu, Ding
    Liu, Yuqi
    NEURAL PROCESSING LETTERS, 2023, 55 (01) : 505 - 518
  • [29] Convolutional Shrinkage Neural Networks Based Model-Agnostic Meta-Learning for Few-Shot Learning
    Yunpeng He
    Chuanzhi Zang
    Peng Zeng
    Qingwei Dong
    Ding Liu
    Yuqi Liu
    Neural Processing Letters, 2023, 55 : 505 - 518
  • [30] Design of Assessment Judging Model for Physical Education Professional Skills Course Based on Convolutional Neural Network and Few-Shot Learning
    Chen, Qingjie
    Dong, Minkai
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022