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Distractor-Aware Siamese Networks for Visual Object Tracking
[chapter]
2018
Lecture Notes in Computer Science
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In this paper, we focus on learning distractor-aware Siamese networks for accurate and long-term tracking. To this end, features used in traditional Siamese trackers are analyzed at first. ...
Recently, Siamese networks have drawn great attention in visual tracking community because of their balanced accuracy and speed. ...
In this paper, we explore to learn Distractor-aware Siamese Region Proposal Networks (DaSiamRPN) for accurate and long-term tracking. ...
doi:10.1007/978-3-030-01240-3_7
fatcat:g2fjqyj7uzg5li2afim5kegy64
Distractor-aware Siamese Networks for Visual Object Tracking
[article]
2018
arXiv
pre-print
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In this paper, we focus on learning distractor-aware Siamese networks for accurate and long-term tracking. To this end, features used in traditional Siamese trackers are analyzed at first. ...
Recently, Siamese networks have drawn great attention in visual tracking community because of their balanced accuracy and speed. ...
In this paper, we explore to learn Distractor-aware Siamese Region Proposal Networks (DaSiamRPN) for accurate and long-term tracking. ...
arXiv:1808.06048v1
fatcat:hwtscbonajh2boqswdvra3b4xm
SiamCDA: Complementarity-and distractor-aware RGB-T tracking based on Siamese network
2021
IEEE transactions on circuits and systems for video technology (Print)
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the Siamese network for RGB-T tracking because of its remarkable success in RGB object tracking. ...
Index Terms-RGB-T tracking, Siamese network, Complementarity-aware fusion, Distractor-aware region proposal selection, Large-scale synthetic dataset
I. ...
doi:10.1109/tcsvt.2021.3072207
fatcat:m3b2jta6svhapethnmekcce2yu
An Anchor-Free Siamese Network with Multi-Template Update for Object Tracking
2021
Electronics
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Inspired by the Siamese network and anchor-free idea, an anchor-free Siamese network (AFSN) with multi-template updates for object tracking is proposed. ...
We use the anchor-free network to implement object tracking in a per-pixel manner, which computes the object category and bounding boxes directly. ...
Acknowledgments: We thank the machine vision lab in Hebei University for the equipment and other help it offered.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/electronics10091067
fatcat:s7glzec5kjbjtlsockynm3a7ci
Correlation-Aware Deep Tracking
[article]
2022
arXiv
pre-print
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In most tracking paradigms, we find that the features extracted by the popular Siamese-like networks cannot fully discriminatively model the tracked targets and distractor objects, hindering them from ...
Robustness and discrimination power are two fundamental requirements in visual object tracking. ...
object while arbitrary objects including distractors can be tracked during inference. ...
arXiv:2203.01666v1
fatcat:3t6bvryxovgqdoy6ow6kldd3xa
Discriminative and Robust Online Learning for Siamese Visual Tracking
[article]
2019
arXiv
pre-print
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The problem of visual object tracking has traditionally been handled by variant tracking paradigms, either learning a model of the object's appearance exclusively online or matching the object with the ...
Therefore, we propose an online module with an attention mechanism for offline siamese networks to extract target-specific features under L2 error. ...
Figure 2 : 2 Overview of the network architecture for visual object tracking. ...
arXiv:1909.02959v2
fatcat:pmc5vg3odnghnjotg4wzvfjcmy
An Analytical Review on Some Recent Advances in Deep Learning Object Tracking Approaches
2020
International Journal of Engineering Research and
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Visual Object tracking in real world, real time application scenarios is a complex problem, therefore, it remains a most active area of research in computer vision. ...
This paper presents a detailed review on some of the recent advances in Deep Learning Based Visual Object Tracking Approaches from a wide variety of algorithms often cited in research literature. ...
., 2018] [12] Distractor-aware Siamese
Region Proposal Networks (DaSiamRPN) method,
Analyzed the features used in conventional Siamese
trackers in detail and they found that the imbalance of the
non-semantic ...
doi:10.17577/ijertv9is010309
fatcat:e7wny2gl35cuvfxrcfec3zxn7y
Discriminative and Robust Online Learning for Siamese Visual Tracking
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
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The problem of visual object tracking has traditionally been handled by variant tracking paradigms, either learning a model of the object's appearance exclusively online or matching the object with the ...
Therefore, we propose an online module with an attention mechanism for offline siamese networks to extract target-specific features under L2 error. ...
Figure 2 : Overview of the network architecture for visual object tracking. ...
doi:10.1609/aaai.v34i07.7002
fatcat:vrx3qxk5qrcbtdpfvlbp5mmelm
Siamese Visual Object Tracking: A Survey
2021
IEEE Access
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[59] proposed their Hierarchical spatial-aware Siamese convolutional neural network (HSSNet) for TIR object tracking. ...
Currently, popular visual tracking methods revolve around Siamese neural networks (section III). ...
Trackers marked with symbol "*" deal with a specific task of TIR tracking and not standard VOT.
Tracker Year ...
doi:10.1109/access.2021.3101988
fatcat:iwjlqirwqrav5nadbaw2g5huuu
RSINet: Rotation-Scale Invariant Network for Online Visual Tracking
[article]
2020
arXiv
pre-print
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Most Siamese network-based trackers perform the tracking process without model update, and cannot learn targetspecific variation adaptively. ...
Moreover, Siamese-based trackers infer the new state of tracked objects by generating axis-aligned bounding boxes, which contain extra background noise, and are unable to accurately estimate the rotation ...
[7] first introduce an end-to-end fully-convolutional Siamese network (SiameseFC) for visual tracking tasks. ...
arXiv:2011.09153v1
fatcat:ep4n7o7dcvhz3p42t3fewl73aa
Deformable Siamese Attention Networks for Visual Object Tracking
[article]
2021
arXiv
pre-print
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Siamese-based trackers have achieved excellent performance on visual object tracking. ...
In addition, we design a region refinement module that computes depth-wise cross correlations between the attentional features for more accurate tracking. ...
Conclusion We have presented new Deformable Siamese Attention Networks for visual object tracking. ...
arXiv:2004.06711v2
fatcat:bhvjgmnsvvdt5fobmkv7rqjgxu
Deformable Siamese Attention Networks for Visual Object Tracking
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Siamese-based trackers have achieved excellent performance on visual object tracking. ...
In addition, we design a region refinement module that computes depth-wise cross correlations between the attentional features for more accurate tracking. ...
Siamese-based Trackers Bertinetto et al. [1] introduced Siamese networks for visual object tracking, which formulates visual object tracking as a similarity learning problem. ...
doi:10.1109/cvpr42600.2020.00676
dblp:conf/cvpr/YuXHS20
fatcat:aehpbl6cibe3ferjcnx6nvl2xy
Learning Target-aware Representation for Visual Tracking via Informative Interactions
[article]
2022
arXiv
pre-print
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We introduce a novel backbone architecture to improve target-perception ability of feature representation for tracking. ...
In this paper, we approach the problem from a different angle by conducting multiple branch-wise interactions inside the Siamese-like backbone networks (InBN). ...
Related Work Visual Object Tracking. ...
arXiv:2201.02526v1
fatcat:tpzjo6lpcfbgro3bnme6vmh6gu
Ranking-Based Siamese Visual Tracking
[article]
2022
arXiv
pre-print
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Current Siamese-based trackers mainly formulate the visual tracking into two independent subtasks, including classification and localization. ...
Specifically, the proposed two ranking losses are compatible with most Siamese trackers and incur no additional computation for inference. ...
Introduction Visual object tracking aims to estimate the location information of an arbitrary target in each frame of a video sequence. ...
arXiv:2205.11761v1
fatcat:rnq57xv4t5egta5kbrdpbkib3i
Siamese Keypoint Prediction Network for Visual Object Tracking
[article]
2020
arXiv
pre-print
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Visual object tracking aims to estimate the location of an arbitrary target in a video sequence given its initial bounding box. ...
SiamKPN performs well against state-of-the-art trackers for visual object tracking on four benchmark datasets including OTB-100, VOT2018, LaSOT and GOT-10k, while running at real-time speed. ...
Conclusion A Siamese keypoint prediction network has been developed for visual object tracking. ...
arXiv:2006.04078v1
fatcat:szr7f2irwrbh7ccg7xkgdhqne4
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