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A Twofold Siamese Network for Real-Time Object Tracking
[article]
2018
arXiv
pre-print
Preserved Fulltext
, for real-time object tracking. ...
Observing that Semantic features learned in an image classification task and Appearance features learned in a similarity matching task complement each other, we build a twofold Siamese network, named SA-Siam ...
Our Approach We propose a twofold fully-convolutional siamese network for real-time object tracking. ...
arXiv:1802.08817v1
fatcat:44k5rtj2k5hv3iiavir4pv4lrq
A Twofold Siamese Network for Real-Time Object Tracking
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Preserved Fulltext
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, for real-time object tracking. ...
Observing that Semantic features learned in an image classification task and Appearance features learned in a similarity matching task complement each other, we build a twofold Siamese network, named SA-Siam ...
Our Approach We propose a twofold fully-convolutional siamese network for real-time object tracking. ...
doi:10.1109/cvpr.2018.00508
dblp:conf/cvpr/HeLTZ18
fatcat:qzfq66uerrhwne6q5zj6djzahm
Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking
[article]
2020
arXiv
pre-print
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In this paper the research on optimisation of visual object tracking using a Siamese neural network for embedded vision systems is presented. ...
It was assumed that the solution shall operate in real-time, preferably for a high resolution video stream, with the lowest possible energy consumption. ...
author) and the National Science Centre project no. 2016/23/D/ST6/01389 entitled "The development of computing resources organization in latest generation of heterogeneous reconfigurable devices enabling real-time ...
arXiv:2007.00491v1
fatcat:hceyipe4jbd57hi7nrv45335mq
SNS-CF: Siamese Network with Spatially Semantic Correlation Features for Object Tracking
2020
Sensors
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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 ...
Short-time single object tracking, as opposed to long-term single object tracking is the scenario where the object has to stay in the field of view throughout the tracking, or just for a fraction of time ...
doi:10.3390/s20174881
pmid:32872299
pmcid:PMC7506687
fatcat:jutranf2tjd4njvcggurqzwjjm
Robust and Real-Time Visual Tracking with Triplet Convolutional Neural Network
2017
Proceedings of the on Thematic Workshops of ACM Multimedia 2017 - Thematic Workshops '17
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The three inputs for the triplet-CNN come from current query frame, tracked object in a previous frame, and reference object. ...
Comprehensive experimental results on a large-scale benchmark database showed that the proposed method outperformed state-ofthe-art tracking methods in terms of precision and robustness with real-time ...
On the other hand, these methods require a large amount of computational cost to process the object candidate with deep convolutional neural network. It has limitations in real-time object tracking. ...
doi:10.1145/3126686.3126740
dblp:conf/mm/KimKR17
fatcat:yfut7atjkzeevopy47kodbomv4
Real-Time Object Tracking with Template Tracking and Foreground Detection Network
2019
Sensors
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The backbone network is a pre-trained modified VGG network, in which a few parameters need to be fine-tuned for adapting to the tracked object. ...
Experimental results on object tracking benchmarks demonstrate that our approach achieves favorable tracking accuracy against the state-of-the-art trackers while running at a real-time speed of 38 fps. ...
SA-siam [18] proposes a twofold Siamese network, which composes of a semantic branch and an appearance branch and combines their results for robust visual tracking. ...
doi:10.3390/s19183945
fatcat:buaelpdzpvgalfcb3fhgi7keme
Deeper Siamese Network with Stronger Feature Representation for Visual Tracking
2020
IEEE Access
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INDEX TERMS Visual tracking, Siamese network, channel attention mechanism. ...
To enhance the tracking accuracy and robustness while maintaining the real-time speed, based on the above tracking paradigm, three improvements including reform of backbone network, fusion of hierarchical ...
attention mechanism for real-time tracking. ...
doi:10.1109/access.2020.3005511
fatcat:6kcbre5ozfhwbnydmh5qnmhjfu
Dynamic Siamese Network with Adaptive Kalman filter for Object Tracking in Complex Scenes
2020
IEEE Access
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[18] designed a twofold Siamese network comprised of a semantic branch and an appearance branch. ...
[13] proposed fully-convolutional Siamese network to build a template-based tracker for object tracking. Valmadre et al. ...
Author Name: Preparation of Papers for IEEE Access (February 2017) ...
doi:10.1109/access.2020.3043878
fatcat:mzyof7z7a5f4dbbqb7wqfrsc6q
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking
[article]
2019
arXiv
pre-print
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By decomposing the visual tracking task into two subproblems as classification for pixel category and regression for object bounding box at this pixel, we propose a novel fully convolutional Siamese network ...
Without bells and whistles, our SiamCAR achieves the leading performance with a considerable real-time speed. ...
The SAsiam [1] builds a twofold Siamese network with a semantic branch and an appearance branch. ...
arXiv:1911.07241v2
fatcat:4ivccsbyyffstc6urubc7zfouu
STA: Adversarial Attacks on Siamese Trackers
[article]
2019
arXiv
pre-print
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In this paper, we first analyze the existing vulnerabilities in Siamese trackers and propose the requirements for a successful adversarial attack. ...
On this basis, we formulate the adversarial generation problem and propose an end-to-end pipeline to generate a perturbed texture map for the 3D object that causes the trackers to fail. ...
It is notable that in VOT2018 Challenge (Kristan et al. 2018) , eight of the top ten real-time short-term trackers are based on Siamese network. ...
arXiv:1909.03413v1
fatcat:tph35vscpva2vjnrvnb5uhygbu
Deeper and Wider Siamese Networks for Real-Time Visual Tracking
[article]
2019
arXiv
pre-print
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The designed architectures are lightweight and guarantee real-time tracking speed when applied to SiamFC [2] and SiamRPN [20]. ...
Siamese networks have drawn great attention in visual tracking because of their balanced accuracy and speed. ...
The main cotributions of this work are twofold. • We present a systematic study on the factors of backbone networks that affect tracking accuracy, and provides architectural design guidelines for the Siamese ...
arXiv:1901.01660v3
fatcat:mxmau5j5j5f53kt5bpsz6a2qde
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook
[article]
2021
arXiv
pre-print
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Following the rapid evolution of visual object tracking in the last decade, this survey presents a systematic and thorough review of more than 90 DCFs and Siamese trackers, based on results in nine tracking ...
Discriminative Correlation Filters (DCFs) and deep Siamese Networks (SNs) have emerged as dominating tracking paradigms, which have led to significant progress. ...
Ling, “Siamese cascaded region proposal networks for
surroundings: Exploiting scene information for object tracking,” in real-time visual tracking,” in CVPR, 2019.
ECCV, 2020. ...
arXiv:2112.02838v1
fatcat:nsre4b5uafeopjb37go6c3obwu
Graph Attention Tracking
[article]
2020
arXiv
pre-print
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In this paper, to solve the above issues, we propose a simple target-aware Siamese graph attention network for general object tracking. ...
Siamese network based trackers formulate the visual tracking task as a similarity matching problem. ...
SA-Siam [12] utilizes a twofold Siamese network to train a semantic branch and an appearance branch. ...
arXiv:2011.11204v1
fatcat:44o25ix2dvevnidrxwwqwwplhu
Multiple Object Tracking via Feature Pyramid Siamese Networks
2019
IEEE Access
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INDEX TERMS Discriminative feature learning, feature pyramid network (FPN), multiple object tracking (MOT), Siamese network, similarity metric learning. has been a Faculty Member with the School of Electrical ...
The FPSN is inspired by a feature pyramid network (FPN) and it extends the Siamese network by applying FPN to the plain Siamese architecture and by developing a new multi-level discriminative feature. ...
The batch mode MOT demonstrates excellent performance but is not suitable for real-time applications. ...
doi:10.1109/access.2018.2889442
fatcat:mvp5uagfoncsnma2tpqneyylti
The Sixth Visual Object Tracking VOT2018 Challenge Results
[chapter]
2019
Lecture Notes in Computer Science
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The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis and a "real-time" experiment simulating a situation where a tracker processes images as if provided ...
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. ...
SA Siam R: A Twofold Siamese Network for Real-Time Object Tracking With Angle Estimation (SA Siam R) A. ...
doi:10.1007/978-3-030-11009-3_1
fatcat:wbfi2kp3rze33cl2o56eauhooq
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