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Towards a Better Match in Siamese Network Based Visual Object Tracker [article]

Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng
<span title="2018-09-05">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recently, Siamese network based trackers have received tremendous interest for their fast tracking speed and high performance.  ...  The objective is to extract more representative features so that a better match can be obtained between the same object from different frames.  ...  In recent years, with the widespread use of deep neural networks, there emerge a bunch of Siamese network based trackers, which performs similarity matching based on extracted DCNN features.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1809.01368v1">arXiv:1809.01368v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ddggyj34mvfxhcd44zitpbrrsy">fatcat:ddggyj34mvfxhcd44zitpbrrsy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200925033733/https://arxiv.org/pdf/1809.01368v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d6/f2/d6f222b5f006a226b709eb12bbe61dec134f25e0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1809.01368v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Towards a Better Match in Siamese Network Based Visual Object Tracker [chapter]

Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng
<span title="">2019</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Recently, Siamese network based trackers have received tremendous interest for their fast tracking speed and high performance.  ...  The objective is to extract more representative features so that a better match can be obtained between the same object from different frames.  ...  In recent years, with the widespread use of deep neural networks, there emerge a bunch of Siamese network based trackers, which performs similarity matching based on extracted DCNN features.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-11009-3_7">doi:10.1007/978-3-030-11009-3_7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lhfjftiaurdk3pebaishor6lpu">fatcat:lhfjftiaurdk3pebaishor6lpu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200318234319/http://openaccess.thecvf.com/content_ECCVW_2018/papers/11129/He_Towards_a_Better_Match_in_Siamese_Network_Based_Visual_Object_ECCVW_2018_paper.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/85/0d/850d59dfaf980a67282cb6955ccf664c6fdc9013.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-11009-3_7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Deep Siamese Networks toward Robust Visual Tracking [chapter]

Mustansar Fiaz, Arif Mahmood, Soon Ki Jung
<span title="2019-05-13">2019</span> <i title="IntechOpen"> Visual Object Tracking in the Deep Neural Networks Era [Working Title] </i> &nbsp;
Recently, Siamese neural networks have been widely used in visual object tracking to leverage the template matching mechanism.  ...  Whereas in the early merge architecture, inputs are combined at the start of the network and a unified data stream is processed by a single convolutional neural network.  ...  Deep Siamese Networks toward Robust Visual Tracking DOI: http://dx.doi.org/10.5772/intechopen.86235 etc. A series of state-ofthe-art Siamese-based trackers have been proposed in the past few years.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/intechopen.86235">doi:10.5772/intechopen.86235</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rgz7z6ldujczbefuznzhfetgsm">fatcat:rgz7z6ldujczbefuznzhfetgsm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200213232907/https://cdn.intechopen.com/pdfs/66986.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5f/cb/5fcb7de54e80dc5ecede9cb2353e16f5dd84201e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/intechopen.86235"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Tracking Holistic Object Representations [article]

Axel Sauer, Elie Aljalbout, Sami Haddadin
<span title="2019-08-06">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recent advances in visual tracking are based on siamese feature extractors and template matching.  ...  We propose a framework that is designed to be used on top of previous trackers without any need for further training of the siamese network.  ...  Recently, there has been a shift towards using neural networks as feature extractors. Specifically, siamese networks are used to learn a space embedding for the template matching [1] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1907.12920v2">arXiv:1907.12920v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/32a7xlkd55c2ziipfdhgs67f7i">fatcat:32a7xlkd55c2ziipfdhgs67f7i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200907091303/https://arxiv.org/pdf/1907.12920v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/35/41/3541fa2a61962981e695ac30bba4efec338222e3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1907.12920v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Correlation-Aware Deep Tracking [article]

Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng
<span title="2022-03-03">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Robustness and discrimination power are two fundamental requirements in visual object tracking.  ...  In contrast to the Siamese-like feature extraction, our network deeply embeds cross-image feature correlation in multiple layers of the feature network.  ...  The Siamese network [2] based trackers have drawn great attention in recent years.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.01666v1">arXiv:2203.01666v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3t6bvryxovgqdoy6ow6kldd3xa">fatcat:3t6bvryxovgqdoy6ow6kldd3xa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220307194913/https://arxiv.org/pdf/2203.01666v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0f/ce/0fced9da4d992771c5575081778ff5a13afbbb51.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.01666v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval [article]

Gunhee Nam, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim
<span title="2020-03-20">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
However, most of them are based on a single template matching, which limits the performance as it restricts the accessible in-formation to the initial target features.  ...  We propose a novel memory-based tracker via part-level dense memory and voting-based retrieval, called DMV.  ...  Siamese Trackers Siamese trackers adopt Siamese networks into their architectures as a one-shot learner.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.09171v1">arXiv:2003.09171v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ulnrrajatvcp5gzt6lk4alzjwy">fatcat:ulnrrajatvcp5gzt6lk4alzjwy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200325034924/https://arxiv.org/pdf/2003.09171v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.09171v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers [article]

Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff
<span title="2021-04-05">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We propose a novel Siamese Natural Language Tracker (SNLT), which brings the advancements in visual tracking to the tracking by natural language (NL) descriptions task.  ...  The proposed SNLT is applicable to a wide range of Siamese trackers, providing a new class of baselines for the tracking by NL task and promising future improvements from the advancements of Siamese trackers  ...  makes our tracker drift away to another object that also matches the NL description.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.02048v2">arXiv:1912.02048v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l2du46dacfamxnatyvgqyr4bje">fatcat:l2du46dacfamxnatyvgqyr4bje</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210408143228/https://arxiv.org/pdf/1912.02048v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/73/00/7300be30128997b41c66f18165e43182fa555643.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1912.02048v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation [article]

Yihan Du, Yan Yan, Si Chen, Yang Hua
<span title="2020-02-07">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In contrast, matching-based tracking methods (such as Siamese networks) possess remarkable speed superiority.  ...  In this paper, we propose a novel real-time visual tracking method, which adopts an object-adaptive LSTM network to effectively capture the video sequential dependencies and adaptively learn the object  ...  In contrast to the above Siamese based methods, we use the Siamese network to select high-quality proposals for computational efficiency and learn a real-time object-adaptive LSTM network to classify these  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2002.02598v1">arXiv:2002.02598v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r5v63gh3enccbjh4w4pnsyvnv4">fatcat:r5v63gh3enccbjh4w4pnsyvnv4</a> </span>
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SiamMOT: Siamese Multi-Object Tracking [article]

Bing Shuai, Andrew Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe
<span title="2021-05-25">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we focus on improving online multi-object tracking (MOT). In particular, we introduce a region-based Siamese Multi-Object Tracking network, which we name SiamMOT.  ...  To explore how the motion modelling affects its tracking capability, we present two variants of Siamese tracker, one that implicitly models motion and one that models it explicitly.  ...  SiamMOT: Siamese Multi-Object Tracking SiamMOT builds upon Faster-RCNN object detector [20, 27, 45] , which consists of a Region Proposal Network (RPN) and a region-based detection network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.11595v1">arXiv:2105.11595v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/opoaqhrd4ngmzbl4zzvxi2yuru">fatcat:opoaqhrd4ngmzbl4zzvxi2yuru</a> </span>
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An Analytical Review on Some Recent Advances in Deep Learning Object Tracking Approaches

K. Nani Kumar, M. James Stephen, P. V. G. D. Prasad Reddy, Andhra University
<span title="2020-02-05">2020</span> <i title="ESRSA Publications Pvt. Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3j6n6lpsjndinobmibtprywohe" style="color: black;">International Journal of Engineering Research and</a> </i> &nbsp;
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.  ...  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.  ...  information of local patterns and their relationships and matches them by a Siamese network in real-time speed.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv9is010309">doi:10.17577/ijertv9is010309</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e7wny2gl35cuvfxrcfec3zxn7y">fatcat:e7wny2gl35cuvfxrcfec3zxn7y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709063018/https://www.ijert.org/research/an-analytical-review-on-some-recent-advances-in-deep-learning-object-tracking-approaches-IJERTV9IS010309.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9e/01/9e011df98945dec8e52ae5a48bc1826bde535f50.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17577/ijertv9is010309"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Siamese Network Training Using Artificial Triplets By Sampling and Image Transformation [article]

Ammar N. Abbas, David Moser
<span title="2021-09-26">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In the following work, a Machine Learning (ML) approach for Computer Vision (CV) called Convolutional Neural Network (CNN) was used using TensorFlow as the high-level programming environment in Python.  ...  To avoid the obstacle collision autonomously, it is required to track the objects in real-time and assign a specific identity to each object to determine its dynamics (trajectory, velocity, etc.) for making  ...  For that, a centroid-based tracker [17] , Generic Object Tracking Using Regression Networks (GOTURN) [18] , and Multi-Domain convolutional Neural network (MDNet) [19] were studied and tested.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.07015v2">arXiv:2106.07015v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xjo36m5cijbi3kplqc2ppyo2au">fatcat:xjo36m5cijbi3kplqc2ppyo2au</a> </span>
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Siamese Visual Tracking with Residual Fusion Learning

Xinglong Sun, Guangliang Han, Lihong Guo
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
In this paper, we propose a novel feature fusion network for Siamese tracker by exploiting the expression capacity of residual learning (SiamRFL).  ...  In addition, the fusion module is generally optimized along with Siamese network module, which may result in the performance degradation of the whole tracker.  ...  Through introducing the fusion architecture, a Siamese tracker is able to predict the object state in a coarseto-fine manner.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3134066">doi:10.1109/access.2021.3134066</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b3xdu2bumjakdd7m6tglsiripu">fatcat:b3xdu2bumjakdd7m6tglsiripu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211211161606/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09642988.pdf?tp=&amp;arnumber=9642988&amp;isnumber=6514899&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1b/c3/1bc31f876652dc3b99ddfdd1cdc4800daa5a6876.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3134066"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

SiamCAM: A Real-Time Siamese Network for Object Tracking with Compensating Attention Mechanism

Kai Huang, Peixuan Qin, Xuji Tu, Lu Leng, Jun Chu
<span title="2022-04-13">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
The Siamese-based object tracking algorithm regards tracking as a similarity matching problem.  ...  We propose a real-time Siamese network object tracking algorithm combined with a compensating attention mechanism to solve this problem.  ...  Siamese Network-Based Trackers In recent years, Siamese network-based tracking algorithms have treated tracking as a metric problem.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12083931">doi:10.3390/app12083931</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6cl4lyek55gdfprygsoll7ymuy">fatcat:6cl4lyek55gdfprygsoll7ymuy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220425191038/https://mdpi-res.com/d_attachment/applsci/applsci-12-03931/article_deploy/applsci-12-03931.pdf?version=1649852129" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/34/eb/34eba996cf13b2369dd00b64291e477cbeec2edc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12083931"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

An In-Depth Analysis of Visual Tracking with Siamese Neural Networks [article]

Roman Pflugfelder
<span title="2018-08-02">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In particular, the branches of Siamese networks, their layers connecting these branches, specific aspects of training and the embedding of these networks into the tracker are highlighted.  ...  The paper proposes a novel Lisp-like formalism for a better comparison of trackers. This assumes a certain functional design and functional decomposition of trackers.  ...  Siamese networks are a promising approach for a deeper analysis and subsequent discussion of tracking as they realise conceptually the simplest way of visual description and temporal matching.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1707.00569v2">arXiv:1707.00569v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zusd5cbflvcnlmc55vdbily55u">fatcat:zusd5cbflvcnlmc55vdbily55u</a> </span>
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SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines

Yinda Xu, Zeyu Wang, Zuoxin Li, Ye Yuan, Gang Yu
<span title="2020-04-03">2020</span> <i title="Association for the Advancement of Artificial Intelligence (AAAI)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wtjcymhabjantmdtuptkk62mlq" style="color: black;">PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE</a> </i> &nbsp;
Based on a careful analysis, we propose a set of practical guidelines of target state estimation for high-performance generic object tracker design.  ...  Visual tracking problem demands to efficiently perform robust classification and accurate target state estimation over a given target at the same time.  ...  Siamese-based Feature Extraction and Matching Object tracking task can be viewed as a similarity learning problem (Li et al. 2018a) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v34i07.6944">doi:10.1609/aaai.v34i07.6944</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/miomofnw5jcmtahboc5ka7jsqm">fatcat:miomofnw5jcmtahboc5ka7jsqm</a> </span>
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