NTIRE 2024 image shadow removal challenge report
This work reviews the results of the NTIRE 2024 Challenge on Shadow Removal. Building
on the last year edition the current challenge was organized in two tracks with a track …
on the last year edition the current challenge was organized in two tracks with a track …
New trends on moving object detection in video images captured by a moving camera: A survey
M Yazdi, T Bouwmans - Computer science review, 2018 - Elsevier
This paper presents a survey on the latest methods of moving object detection in video
sequences captured by a moving camera. Although many researches and excellent works …
sequences captured by a moving camera. Although many researches and excellent works …
Mixformer: End-to-end tracking with iterative mixed attention
Tracking often uses a multi-stage pipeline of feature extraction, target information
integration, and bounding box estimation. To simplify this pipeline and unify the process of …
integration, and bounding box estimation. To simplify this pipeline and unify the process of …
Learning adaptive spatial-temporal context-aware correlation filters for UAV tracking
Tracking in the unmanned aerial vehicle (UAV) scenarios is one of the main components of
target-tracking tasks. Different from the target-tracking task in the general scenarios, the …
target-tracking tasks. Different from the target-tracking task in the general scenarios, the …
Siamrpn++: Evolution of siamese visual tracking with very deep networks
Siamese network based trackers formulate tracking as convolutional feature cross-
correlation between target template and searching region. However, Siamese trackers still …
correlation between target template and searching region. However, Siamese trackers still …
Lasot: A high-quality benchmark for large-scale single object tracking
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 …
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
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 …
benchmarking activity organized by the VOT initiative. Results of over eighty trackers are …
Fuzzy detection aided real-time and robust visual tracking under complex environments
Today, a new generation of artificial intelligence has brought several new research domains
such as computer vision (CV). Thus, target tracking, the base of CV, has been a hotspot …
such as computer vision (CV). Thus, target tracking, the base of CV, has been a hotspot …
Visual object tracking with discriminative filters and siamese networks: a survey and outlook
Accurate and robust visual object tracking is one of the most challenging and fundamental
computer vision problems. It entails estimating the trajectory of the target in an image …
computer vision problems. It entails estimating the trajectory of the target in an image …