Visual attention has recently achieved great success and wide application in deep neural networks. Existing methods based on Siamese network have achieved a good accuracy-efficiency trade-off in visual tracking. However, the training time of Siamese trackers becomes longer for the deeper network and ...
3).only RF in a certain size range allows the feature to abstract the characteristics of the object, andits ideal size is closely related to the size of the exemplar image. 4).For the output feature size, it is observed that a small size (OFS≤3) does not benefit tracking accuracy. 5...
Siamese networks have drawn great attention in visual tracking because of their balanced accuracy and speed. However, the backbone networks used in Siamese trackers are relatively shallow, such as AlexNet, which does not fully take advantage of the capability of modern deep neural netwo...
Nam, H., Han, B.: Learning multi-domain convolutional neural networks for visual tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4293–4302 (2016) Li, Y., Fu, C., Ding, F., Huang, Z., Lu, G.: Autotrack: Towards high-performance visu...
Recently deep convolutional neural networks (CNNs) have greatly improved the performance of visual tasks such as object detection [10] and segmentation [11]. It also shows great potential in the field of visual tracking, which has become a research hotspot [6], [7]. Among the CNN based tra...
Paper tables with annotated results for Deeper and Wider Siamese Networks for Real-Time Visual Tracking
1. Siamese-RPN 的简介: 详见其原始 paper:High performance visual tracking with siamese region proposal network 2. Cascaded RPN: 前人的方法大部分都忽略了 class imbalance 的问题,导致在出现相似性物体的时候,效果不佳。此外,他们也仅用 high-level semantic features 来进行跟踪,而很少考虑 multi-level featu...
学习《Deeper and Wider Siamese Networks for Real-Time Visual Tracking》: 论文介绍 论文摘要 孪生网络因其平衡了准确性和速度而引起了视觉跟踪领域的极大关注。然而,在连体追踪器中使用的骨干网络相对较浅,例如AlexNet ,它没有充分利用新型深度神经网络的能力。在本文中,我们研究如何利用更深和更广泛的卷积神经网络...
[论文阅读 2020 CVPR 目标跟踪]Siamese Box Adaptive Network for Visual Tracking,程序员大本营,技术文章内容聚合第一站。
Siamese networks have drawn great attention in visual tracking because of their balanced accuracy and speed. However, the backbone networks used in Siamese trackers are relatively shallow, such as AlexNet [18], which does not fully take advantage of the capability of modern deep neural networks. ...