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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 …
Anti-UAV: A large multi-modal benchmark for UAV tracking
Unmanned Aerial Vehicle (UAV) offers lots of applications in both commerce and recreation.
With this, monitoring the operation status of UAVs is crucially important. In this work, we …
With this, monitoring the operation status of UAVs is crucially important. In this work, we …
Anti-UAV: A large-scale benchmark for vision-based UAV tracking
Unmanned Aerial Vehicles (UAV) have many applications in both commerce and recreation.
However, irresponsibly operated UAVs will pose a threat to public safety. Therefore …
However, irresponsibly operated UAVs will pose a threat to public safety. Therefore …
RPformer: A robust parallel transformer for visual tracking in complex scenes
F Gu, J Lu, C Cai - IEEE transactions on instrumentation and …, 2022 - ieeexplore.ieee.org
The Siamese architecture has shown remarkable performance in the field of visual tracking.
Although the existing Siamese-based tracking methods have achieved a relative balance …
Although the existing Siamese-based tracking methods have achieved a relative balance …
Ecsu-net: an embedded clustering sliced u-net coupled with fusing strategy for efficient intervertebral disc segmentation and classification
Automatic vertebra segmentation from computed tomography (CT) image is the very first and
a decisive stage in vertebra analysis for computer-based spinal diagnosis and therapy …
a decisive stage in vertebra analysis for computer-based spinal diagnosis and therapy …
Spreading fine-grained prior knowledge for accurate tracking
With the widespread use of deep learning in single object tracking task, mainstream tracking
algorithms treat tracking as a combined classification and regression problem. Classification …
algorithms treat tracking as a combined classification and regression problem. Classification …
SiamTHN: Siamese target highlight network for visual tracking
Siamese network based trackers develop rapidly in the field of visual object tracking in
recent years. The majority of Siamese network based trackers now in use treat each channel …
recent years. The majority of Siamese network based trackers now in use treat each channel …
[ספר][B] Visual object tracking using deep learning
A Kumar - 2023 - books.google.com
This book covers the description of both conventional methods and advanced methods. In
conventional methods, visual tracking techniques such as stochastic, deterministic …
conventional methods, visual tracking techniques such as stochastic, deterministic …
Efficient selective context network for accurate object detection
Single-stage detectors have gained great attention due to their high detection accuracy and
real-time speed. To detect multi-scale objects, single-stage detectors make scale-aware …
real-time speed. To detect multi-scale objects, single-stage detectors make scale-aware …
Boundary attention guided sparse feature learning for underwater object tracking in edge computing
H Qiu, N Li, P Li, R Hou, Y Zhang, Y Peng - ACM Transactions on …, 2024 - dl.acm.org
Underwater visual object tracking is crucial for marine resource exploration and military
security. However, due to the effect of insufficient light and turbid background in underwater …
security. However, due to the effect of insufficient light and turbid background in underwater …