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Siamese Attentional Keypoint Network for High Performance Visual Tracking [article]

Peng Gao, Yipeng Ma, Ruyue Yuan, Liyi Xiao, Fei Wang
2019 arXiv   pre-print
Firstly, a new Siamese lightweight hourglass network is specifically designed for visual tracking.  ...  In this paper, we investigate impacts of three main aspects of visual tracking, i.e., the backbone network, the attentional mechanism and the detection component, and propose a Siamese Attentional Keypoint  ...  Siamese framework for high performance visual tracking.  ... 
arXiv:1904.10128v1 fatcat:ovn4s5cbdfbkllioy7fxnqxp5q

Siamese Attentional Cascade Keypoints Network for Visual Object Tracking

Ershen Wang, Donglei Wang, Yufeng Huang, Gang Tong, Song Xu, Tao Pang
2020 IEEE Access  
INDEX TERMS Visual object tracking, siamese network, hourglass network, global attention, cascade corner pooling.  ...  To address these issues, we proposed a novel Siamese Attentional Cascade Keypoints Tracking Network named SiamACN to exactly track the object by using keypoints prediction instead of anchors.  ...  CONCLUSION We proposed an effective Siamese attentional cascade keypoints network, named SiamACN, for visual object tracking.  ... 
doi:10.1109/access.2020.3046731 fatcat:bmglla6htnfi7lztzm736cd52e

HROM: Learning High-Resolution Representation and Object-Aware Masks for Visual Object Tracking

Dawei Zhang, Zhonglong Zheng, Tianxiang Wang, Yiran He
2020 Sensors  
Siamese network-based trackers consider tracking as features cross-correlation between the target template and the search region.  ...  Moreover, we exploit attention mechanisms to learn object-aware masks for adaptive feature refinement, and use deformable convolution to handle complex geometric transformations.  ...  To the best of our knowledge, this work is the first high-resolution Siamese networks for visual tracking.  ... 
doi:10.3390/s20174807 pmid:32858872 fatcat:m2gcbfyklzfylbpehtqnm3m5bu

Deformable Siamese Attention Networks for Visual Object Tracking

Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
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

Deformable Siamese Attention Networks for Visual Object Tracking [article]

Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott
2021 arXiv   pre-print
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

Inverted Residual Siamese Visual Tracking with Feature Crossing Network

Feng Zhang, Xiaoyan Qian, Lei Han, Yi Shen
2021 IEEE Access  
Siamese networks based visual tracking has recently drawn great attention due to their superior representation and tracking accuracy.  ...  Specifically, the Siamese backbone networks for feature extraction consist of an inverted residual network and a feature-crossing network (FCN).  ...  To exploit the benefits of deep networks, studies on end-to-end learning of deep networks are conducted for visual tracking.  ... 
doi:10.1109/access.2021.3056194 fatcat:gkne5xwwpjglvas3r3g5i3hqqe

Correlation-Guided Attention for Corner Detection Based Visual Tracking

Fei Du, Peng Liu, Wei Zhao, Xianglong Tang
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
First, a region of interest (RoI) is obtained by employing an efficient Siamese network to distinguish the target from the background.  ...  corner regions and enhance features of the RoI for corner detection.  ...  corner detection network for accurate visual tracking.  ... 
doi:10.1109/cvpr42600.2020.00687 dblp:conf/cvpr/DuLZT20 fatcat:ob6pln6ycvenjc6ewch62ddo5y

Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking [article]

Changhong Fu, Sihang Li, Xinnan Yuan, Junjie Ye, Ziang Cao, Fangqiang Ding
2022 arXiv   pre-print
Ad^2Attack is composed of a direct downsampling module and a super-resolution upsampling module with adaptive stages.  ...  Visual tracking is adopted to extensive unmanned aerial vehicle (UAV)-related applications, which leads to a highly demanding requirement on the robustness of UAV trackers.  ...  Overall comparison of tracking results from a Siamese tracker, with (red) or without (blue) Ad 2 Attack. The top row is a clean image where the target is being correctly tracked.  ... 
arXiv:2203.01516v1 fatcat:4dichgbjlbf7te4ml43iaslt3q

DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking [article]

Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed
2018 arXiv   pre-print
fashion with a similarity-learning function.  ...  Convolutional Siamese neural networks have been recently used to track objects using deep features.  ...  In this paper, we present a novel network design for robust visual object tracking to improve the generalization capability of Siamese architecture.  ... 
arXiv:1809.02714v1 fatcat:x3jpryp255am5jcxyyd25p6ql4

A ConvNext-Based and Feature Enhancement Anchor-Free Siamese Network for Visual Tracking

Qiguo Xu, Honggui Deng, Zeyu Zhang, Yang Liu, Xusheng Ruan, Gang Liu
2022 Electronics  
In CAFSN, to obtain an appropriate backbone network, the state-of-the-art ConvNext network is applied to the visual tracking field for the first time by improving the network stride and receptive field  ...  In particular, we discuss that the Siamese network cannot establish a complete identification model for the tracking target and similar objects, which negatively impacts network performance.  ...  Acknowledgments: We are grateful to the High Performance Computing Center of Central South University for assistance with computations.  ... 
doi:10.3390/electronics11152381 fatcat:4grcgitopjfkdek6cohce4zwh4

SNS-CF: Siamese Network with Spatially Semantic Correlation Features for Object Tracking

Thierry Ntwari, Hasil Park, Joongchol Shin, Joonki Paik
2020 Sensors  
In this paper, we present a Siamese network with spatially semantic correlation features (SNS-CF) for accurate, robust object tracking.  ...  To the best of authors knowledge, the proposed SNS-CF is the first attempt to fuse the Siamese network and the correlation filter to provide high frame rate, real-time visual tracking with a favorable  ...  SNS-CF algorithm for visual object tracking.  ... 
doi:10.3390/s20174881 pmid:32872299 pmcid:PMC7506687 fatcat:jutranf2tjd4njvcggurqzwjjm

End-to-end Correlation Tracking with Enhanced Multi-level Feature Fusion

Guangen Liu, Guizhong Liu
2021 IEEE Access  
In particular, a few recent works treat DCF as a special layer and add it into a Siamese network for visual tracking.  ...  In this paper, we design a novel Siamese network to fuse high-level semantic features and low-level spatial detail features for correlation tracking.  ...  We construct a novel Siamese network and combine it with correlation filter (CF) layer to end-to-end learn the fusion of high-level semantic features and low-level detail features for visual tracking.  ... 
doi:10.1109/access.2021.3111532 fatcat:jkfyswq5ljfk5l7qfasy2kqq2a

Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos [article]

Umer Rafi, Andreas Doering, Bastian Leibe, Juergen Gall
2020 arXiv   pre-print
Combined with a top-down framework for human pose estimation, we use keypoints correspondences to (i) recover missed pose detections (ii) associate pose detections across video frames.  ...  This makes it challenging to learn deep learning based models for associating keypoints across frames that are robust to nuisance factors such as motion blur and occlusions for the task of multi-person  ...  Both modules are trained for 100 epochs with base learning rate of 1e −4 reduced to 1e −5 after 50 epochs.  ... 
arXiv:2004.12652v2 fatcat:qczspte4wjf7lflvaum24v4s3e

Efficient Visual Tracking with Stacked Channel-Spatial Attention Learning

Md. Maklachur Rahman, Mustansar Fiaz, Soon Ki Jung
2020 IEEE Access  
We integrate the proposed channel and spatial attention modules to enhance tracking performance with end-to-end learning.  ...  However, preserving tracker robustness against challenging scenarios with real-time speed is a primary concern for visual object tracking.  ...  This visualization results for channel attention module and spatial attention module with siamese architecture represented by CAtt and SAtt, respectively, and SCSAtt, as shown in Fig. 5 .  ... 
doi:10.1109/access.2020.2997917 fatcat:hui5geq7cncizcg76hki7mbvh4

SiamCDA: Complementarity-and distractor-aware RGB-T tracking based on Siamese network

Tianlu Zhang, Xueru Liu, Qiang Zhanga, Jungong Han
2021 IEEE transactions on circuits and systems for video technology (Print)  
SiamDW [39] designed a residual network for visual tracking with controlled receptive field size and network stride.  ...  network and train the thermal Siamese network with the learning rate exponentially decayed from 0.0005 to 0.00005.  ... 
doi:10.1109/tcsvt.2021.3072207 fatcat:m3b2jta6svhapethnmekcce2yu
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