Deep learning for visual tracking: A comprehensive survey
SM Marvasti-Zadeh, L Cheng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Visual target tracking is one of the most sought-after yet challenging research topics in
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …
Satellite video single object tracking: A systematic review and an oriented object tracking benchmark
Single object tracking (SOT) in satellite video (SV) enables the continuous acquisition of
position and range information of an arbitrary object, showing promising value in remote …
position and range information of an arbitrary object, showing promising value in remote …
Transformer meets tracker: Exploiting temporal context for robust visual tracking
In video object tracking, there exist rich temporal contexts among successive frames, which
have been largely overlooked in existing trackers. In this work, we bridge the individual …
have been largely overlooked in existing trackers. In this work, we bridge the individual …
Graph attention tracking
Siamese network based trackers formulate the visual tracking task as a similarity matching
problem. Almost all popular Siamese trackers realize the similarity learning via convolutional …
problem. Almost all popular Siamese trackers realize the similarity learning via convolutional …
Stmtrack: Template-free visual tracking with space-time memory networks
Boosting performance of the offline trained siamese trackers is getting harder nowadays
since the fixed information of the template cropped from the first frame has been almost …
since the fixed information of the template cropped from the first frame has been almost …
Ocean: Object-aware anchor-free tracking
Anchor-based Siamese trackers have achieved remarkable advancements in accuracy, yet
the further improvement is restricted by the lagged tracking robustness. We find the …
the further improvement is restricted by the lagged tracking robustness. We find the …
Siamese box adaptive network for visual tracking
Most of the existing trackers usually rely on either a multi-scale searching scheme or pre-
defined anchor boxes to accurately estimate the scale and aspect ratio of a target …
defined anchor boxes to accurately estimate the scale and aspect ratio of a target …
Deformable siamese attention networks for visual object tracking
Y Yu, Y Xiong, W Huang… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Siamese-based trackers have achieved excellent performance on visual object tracking.
However, the target template is not updated online, and the features of target template and …
However, the target template is not updated online, and the features of target template and …
SiamCAR: Siamese fully convolutional classification and regression for visual tracking
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 …
category and regression for object bounding box at this pixel, we propose a novel fully …
Correlation-aware deep tracking
Robustness and discrimination power are two fundamental requirements in visual object
tracking. In most tracking paradigms, we find that the features extracted by the popular …
tracking. In most tracking paradigms, we find that the features extracted by the popular …