Oct 21, 2018 · This network reformulates feature integration as a differential module that concatenates features from the shallow and deep layers. A channel ...

Oct 29, 2018 · Abstract—Recently, the performance advancement of discrim- inative correlation filter (DCF) based trackers is predominantly.

This network reformulates feature integration as a differential module which concatenates features from the shallow and deep layers. A channel attention ...

This work is the first to overcome this limitation by interpreting the Correlation Filter learner, which has a closed-form solution, as a differentiable ...

Aug 11, 2020 · In this paper, we introduce channel attention and focal loss into the network architecture to tackle channel weighting and the foreground– ...

To deal with the above-mentioned issues, we design an adaptive weighted CNN features based Siamese network for tracking. To capture spatial and semantic ...

Discriminative correlation filters (DCF) with deep con- volutional features have achieved favorable performance in recent tracking benchmarks.

Feb 4, 2019 · End-to-end representation learning for correlation filter based tracking, in: CVPR, 2017. 18. Page 19. [17] J. Bromley, J. W. Bentz, L. Bottou ...

A novel channel-wise feature attention mechanism is proposed, which is integrated into the pipeline of a well-known convolutional neural network based ...

Nov 30, 2020 · The result demonstrates that it is feasible to improve the robustness of features by paying different attention on different feature channels.