Visual tracking by dynamic matching-classification network switching-Reference-Cited by-同舟云学术

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Visual tracking by dynamic matching-classification network switching

Published:2020-11 Issue: Volume:107 Page:107419
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Li Peixia^ORCID,Chen Boyu,Wang Dong^ORCID,Lu Huchuan^ORCID

Publisher

Elsevier BV

Subject

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

Reference44 articles.

1. ImageNet: a large-scale hierarchical image database;Deng,2009

2. Learning multi-domain convolutional neural networks for visual tracking;Nam,2016

3. Visual tracking with fully convolutional networks;Wang,2015

4. Sequentially training convolutional networks for visual tracking;Wang,2016

5. Fully-convolutional siamese networks for object tracking;Bertinetto,2016

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1. A Common Knowledge-Driven Generic Vision Inspection Framework for Adaptation to Multiple Scenarios, Tasks, and Objects;Sensors;2024-06-25

2. A novel multi-branch wavelet neural network for sparse representation based object classification;Pattern Recognition;2023-03

3. Visual tracking with dumbbell selection network;Neurocomputing;2023-01

4. Meta-learning based relation and representation learning networks for single-image deraining;Pattern Recognition;2021-12

5. Deep mutual learning for visual object tracking;Pattern Recognition;2021-04

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