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Salient object detection of dairy goats in farm image based on background and foreground priors

  • Published:2019-03 Issue: Volume:332 Page:270-282
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Tang Jinglei,Yang Guoxin,Sun Yurou,Xin Jing,He Dongjian

Funder

Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing

Key Research And Development Program

National Natural Science Foundation of China

Xi'an Science and Technology Plan Projects

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference56 articles.

1. Preventive measures for common infectious diseases and parasitic diseases in sheep;Wan;Mod. Animal Husb.,2016

2. The Attentive Brain[M]. Chapter Computational Architectures For Attention;Niebur,1995

3. Constrast-based image attention analysis by using fuzzy growing;Ma,2003

4. Salient object detection by composition[C];Feng,2011

5. Center-surround divergence of feature statistics for salient object detection;Klein,2011

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1. A Real-Time dairy goat tracking based on MixFormer with adaptive token elimination and efficient appearance update;Computers and Electronics in Agriculture;2024-03

2. Novel method for the recognition of Jinnan cattle action using bottleneck attention enhanced two-stream neural network;International Journal of Agricultural and Biological Engineering;2024

3. A dairy goat tracking method via lightweight fusion and Kullback Leibler divergence;Computers and Electronics in Agriculture;2023-10

4. Real-Time Cattle Interaction Recognition via Triple-stream Network;2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA);2022-12

5. A low computational complexity algorithm for real-time salient object detection;The Visual Computer;2022-06-04
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