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Learning Target-aware Attention for Robust Tracking with Conditional Adversarial Network

Xiao Wang, Rui Yang, Tao Sun, Bin Luo
2019 British Machine Vision Conference  
Through conditional generative adversarial network (CGAN), attention maps are produced to generate the proposals with high-quality locations and scales, and perform object tracking via multi-domain CNN  ...  To handle these issues, this paper presents a novel and general target-aware attention learning approach to simultaneously achieve target localization and scale handling.  ...  , for accurate and robust tracking.  ... 
dblp:conf/bmvc/WangYSL19 fatcat:s6y6g64tyvgrzck3cxq4xzmf3y

Tracking by Joint Local and Global Search: A Target-aware Attention based Approach [article]

Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu
2021 arXiv   pre-print
In the tracking procedure, we integrate the target-aware attention with multiple trackers by exploring candidate search regions for robust tracking.  ...  In this paper, we propose a novel and general target-aware attention mechanism (termed TANet) and integrate it with tracking-by-detection framework to conduct joint local and global search for robust tracking  ...  framework to handle these issues. • We propose a simple yet effective Target-aware Attention Network (TANet) and design a novel adversarial learning scheme for the training of our generator.  ... 
arXiv:2106.04840v1 fatcat:3pktzebc6vfzrmr7ueu7l7qpd4

Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments [article]

Lifeng Zhou, Pratap Tokekar
2021 arXiv   pre-print
However, these algorithms have also been shown to be vulnerable to adversarial attacks, and as such developing learning-based coordination strategies that are resilient to such attacks and robust to uncertainties  ...  Learning-based approaches have been seen to be promising, especially since they can learn who, when, and how to communicate for effective coordination.  ...  Acknowledgements The authors would like to thank the National Science Foundation (NSF IIS-1637915) and the Office of Naval Research (ONR N00014-18-1-2829) for their supports.  ... 
arXiv:2105.00389v1 fatcat:bwnyxvpvzjfrbjxyiysnmq5e74

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIP 2021 3263-3278 Learning to Match Anchor-Target Video Pairs With Dual Attentional Holo-graphic Networks.  ...  ., +, TIP 2021 7889-7902 Attentive Feature Refinement Network for Single Rainy Image Restoration. Sparse Learning-Based Correlation Filter for Robust Tracking.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TMM 2021 611-623 CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification.  ...  Xu, Z., +, TMM 2021 1542-1556 CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

Crowd understanding and analysis

Qi Wang, Bo Liu, Jianzhe Lin
2021 IET Image Processing  
With the development of modern life, all kinds of social activities have become more frequent.  ...  These social activities are often attended by a wide range of people, which puts forward high requirements for effective management and ensures the safety of the people involved in the activities.  ...  "Class structure-aware adversarial loss for cross-domain human action recognition" of Chen et al. proposes a class structure-aware adversarial loss, which aims to address the issue that the existing adversarial-based  ... 
doi:10.1049/ipr2.12379 fatcat:shshhjjoxngotplvg7xzefpsne

2021 Index IEEE Signal Processing Letters Vol. 28

2021 IEEE Signal Processing Letters  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, LSP 2021 1370-1374 Conditional Automated Channel Pruning for Deep Neural Networks. Liu, Y., +, LSP 2021 1275-1279 CSANet for Video Semantic Segmentation With Inter-Frame Mutual Learning.  ...  ., +, LSP 2021 698-702 Adversarial Network. Chen, M., +, LSP 2021 842-846 Edge/Structure-Preserving Texture Filter via Relative Bilateral Filtering With a Conditional Constraint.  ... 
doi:10.1109/lsp.2022.3145253 fatcat:a3xqvok75vgepcckwnhh2mty74

A single target tracking algorithm based on Generative Adversarial Networks [article]

Zhaofu Diao
2019 arXiv   pre-print
The main content of our algorithm is to use the Region Proposal Network to obtain the tracked target and potential interferences, and use the occlusion awareness module to judge whether the interfering  ...  To solve this problem, we propose a single target tracking algorithm with anti-occlusion capability.  ...  In 2015, a tracking method based on Siamese Network (SiamFC) [25] attracted people's attention.  ... 
arXiv:1912.11967v1 fatcat:7huhu7ukcjexpfbwzc5jnabc5u

SCA-MMA: Spatial and Channel-Aware Multi-Modal Adaptation for Robust RGB-T Object Tracking

Run Shi, Chaoqun Wang, Gang Zhao, Chunyan Xu
2022 Electronics  
In this work, we address the RGB-T object tracking task with a novel spatial- and channel-aware multi-modal adaptation (SCA-MMA) framework, which builds an adaptive feature learning process for better  ...  mining this object-aware information in a unified network.  ...  It demonstrates that the proposed spatial-aware mechanism can learn spatial awareness adaptively and enhance the target information for robust object tracking.  ... 
doi:10.3390/electronics11121820 fatcat:ledozytxnregpjbbfpkgy32zlm

Table of contents

2020 IEEE Transactions on Image Processing  
Sun 1465 DP-Siam: Dynamic Policy Siamese Network for Robust Object Tracking ..... M. H. Abdelpakey and M. S.  ...  Guan 3805 Graininess-Aware Deep Feature Learning for Robust Pedestrian Detection ..... C. Lin, J. Lu, G. Wang, and J.  ... 
doi:10.1109/tip.2019.2940372 fatcat:h23ul2rqazbstcho46uv3lunku

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
Therefore, to help increase awareness of the potential risk and the robustness of UAV tracking, this work proposes a novel adaptive adversarial attack approach, i.e., Ad^2Attack, against UAV object tracking  ...  Specifically, adversarial examples are generated online during the resampling of the search patch image, which leads trackers to lose the target in the following frames.  ...  CONCLUSIONS In this work, for attracting more attention to the vulnerability and improvement of the robustness of UAV tracking model, an adversarial attack, i.e., Ad 2 Attack, is proposed against UAV tracking  ... 
arXiv:2203.01516v1 fatcat:4dichgbjlbf7te4ml43iaslt3q

Towards Distraction-Robust Active Visual Tracking [article]

Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang
2021 arXiv   pre-print
For effective learning, we then present a bunch of practical methods, including a reward function for distractors, a cross-modal teacher-student learning strategy, and a recurrent attention mechanism for  ...  We also show that the multi-agent game can be used to adversarially test the robustness of trackers.  ...  For the recurrent attention, we compare it with the previous Conv-LSTM network introduced in .  ... 
arXiv:2106.10110v1 fatcat:rar2mmyh2bhzvnlfglm2gdo5au

Table of Contents

2021 IEEE Signal Processing Letters  
Li Space Target Attitude Estimation From ISAR Image Sequences With Key Point Extraction Network . . . . . . . . . . . . . . . ...Zhong Interactive Multimodal Attention Network for Emotion Recognition in  ...  Petrantonakis EDBGAN: Image Inpainting via an Edge-Aware Dual Branch Generative Adversarial Network . . ...M. Chen and Z.  ... 
doi:10.1109/lsp.2021.3134549 fatcat:m6obtl7k7zdqvd62eo3c4tptfy

Table of Contents

2021 IEEE Signal Processing Letters  
MANet: Multi-Scale Attention Network for Correspondence Learning . . . . . . . . . . Y. Chen, L. Zheng, X. Liu, and G.  ...  Chen Two-Stage Learning and Fusion Network With Noise Aware for Time-Domain Monaural Speech Enhancement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/lsp.2021.3134551 fatcat:ab4b4tb5rrcu5cq6aifdekrizq

Distractor-Aware Deep Regression for Visual Tracking

Ming Du, Yan Ding, Xiuyun Meng, Hua-Liang Wei, Yifan Zhao
2019 Sensors  
The tracker algorithms directly learn mapping from dense samples around the target object to Gaussian-like soft labels.  ...  In recent years, regression trackers have drawn increasing attention in the visual-object tracking community due to their favorable performance and easy implementation.  ...  Figure 9 . 9 Expected average overlap plot for VOT17 challenge with the proposed Distractor-aware Deep Regression Tracking (DaDRT) tracker.  ... 
doi:10.3390/s19020387 fatcat:ocssm6sfofblbgvpoz6okwy6hm
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