Artificial intelligence in the creative industries: a review

N Anantrasirichai, D Bull - Artificial intelligence review, 2022 - Springer
This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …

Multiple object tracking: A literature review

W Luo, J Xing, A Milan, X Zhang, W Liu, TK Kim - Artificial intelligence, 2021 - Elsevier
Abstract Multiple Object Tracking (MOT) has gained increasing attention due to its academic
and commercial potential. Although different approaches have been proposed to tackle this …

Swintrack: A simple and strong baseline for transformer tracking

L Lin, H Fan, Z Zhang, Y Xu… - Advances in Neural …, 2022 - proceedings.neurips.cc
Recently Transformer has been largely explored in tracking and shown state-of-the-art
(SOTA) performance. However, existing efforts mainly focus on fusing and enhancing …

Learning target candidate association to keep track of what not to track

C Mayer, M Danelljan, DP Paudel… - Proceedings of the …, 2021 - openaccess.thecvf.com
The presence of objects that are confusingly similar to the tracked target, poses a
fundamental challenge in appearance-based visual tracking. Such distractor objects are …

Siam r-cnn: Visual tracking by re-detection

P Voigtlaender, J Luiten, PHS Torr… - Proceedings of the …, 2020 - openaccess.thecvf.com
Abstract We present Siam R-CNN, a Siamese re-detection architecture which unleashes the
full power of two-stage object detection approaches for visual object tracking. We combine …

The eighth visual object tracking VOT2020 challenge results

M Kristan, A Leonardis, J Matas, M Felsberg… - Computer Vision–ECCV …, 2020 - Springer
Abstract The Visual Object Tracking challenge VOT2020 is the eighth annual tracker
benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; …

The seventh visual object tracking VOT2019 challenge results

M Kristan, J Matas, A Leonardis… - Proceedings of the …, 2019 - openaccess.thecvf.com
Abstract The Visual Object Tracking challenge VOT2019 is the seventh annual tracker
benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; …

Fast online object tracking and segmentation: A unifying approach

Q Wang, L Zhang, L Bertinetto… - Proceedings of the …, 2019 - openaccess.thecvf.com
In this paper we illustrate how to perform both visual object tracking and semi-supervised
video object segmentation, in real-time, with a single simple approach. Our method, dubbed …

Lasot: A high-quality benchmark for large-scale single object tracking

H Fan, L Lin, F Yang, P Chu, G Deng… - Proceedings of the …, 2019 - openaccess.thecvf.com
In this paper, we present LaSOT, a high-quality benchmark for Large-scale Single Object
Tracking. LaSOT consists of 1,400 sequences with more than 3.5 M frames in total. Each …

The sixth visual object tracking vot2018 challenge results

M Kristan, A Leonardis, J Matas… - Proceedings of the …, 2018 - openaccess.thecvf.com
Abstract The Visual Object Tracking challenge VOT2018 is the sixth annual tracker
benchmarking activity organized by the VOT initiative. Results of over eighty trackers are …