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Semantic clustering based deduction learning for image recognition and classification

  • Published:2022-04 Issue: Volume:124 Page:108440
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Ma Wenchi,Tu Xuemin,Luo Bo,Wang Guanghui

Funder

NASA

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. Densely connected convolutional networks;Huang,2017

2. Deep residual learning for image recognition;He,2016

3. Learning depth from single images with deep neural network embedding focal length;He;IEEE Trans. Image Process.,2018

4. Mdfn: multi-scale deep feature learning network for object detection;Ma;Pattern Recognit,2020

5. Toward learning a unified many-to-many mapping for diverse image translation;Xu;Pattern Recognit,2019

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1. Graph clustering network with structure embedding enhanced;Pattern Recognition;2023-12

2. Exploring Student Involvement in E-Learning;2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA);2023-11-22

3. MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

4. Knowledge transduction for cross-domain few-shot learning;Pattern Recognition;2023-09

5. On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06
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