Perceptual video quality assessment: A survey

X Min, H Duan, W Sun, Y Zhu, G Zhai - Science China Information …, 2024 - Springer
Perceptual video quality assessment plays a vital role in the field of video processing due to
the existence of quality degradations introduced in various stages of video signal …

Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead

V Kamath, A Renuka - Neurocomputing, 2023 - Elsevier
Deep learning models are widely being employed for object detection due to their high
performance. However, the majority of applications that require object detection are …

Zoom in and out: A mixed-scale triplet network for camouflaged object detection

Y Pang, X Zhao, TZ Xiang… - Proceedings of the …, 2022 - openaccess.thecvf.com
The recently proposed camouflaged object detection (COD) attempts to segment objects that
are visually blended into their surroundings, which is extremely complex and difficult in real …

LSNet: Lightweight spatial boosting network for detecting salient objects in RGB-thermal images

W Zhou, Y Zhu, J Lei, R Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Most recent methods for RGB (red–green–blue)-thermal salient object detection (SOD)
involve several floating-point operations and have numerous parameters, resulting in slow …

P2T: Pyramid pooling transformer for scene understanding

YH Wu, Y Liu, X Zhan… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Recently, the vision transformer has achieved great success by pushing the state-of-the-art
of various vision tasks. One of the most challenging problems in the vision transformer is that …

Few-shot object detection on remote sensing images

X Li, J Deng, Y Fang - IEEE Transactions on Geoscience and …, 2021 - ieeexplore.ieee.org
In this article, we deal with the problem of object detection on remote sensing images.
Previous researchers have developed numerous deep convolutional neural network (CNN) …

Lightweight salient object detection in optical remote-sensing images via semantic matching and edge alignment

G Li, Z Liu, X Zhang, W Lin - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
Recently, relying on convolutional neural networks (CNNs), many methods for salient object
detection in optical remote-sensing images (ORSI-SOD) are proposed. However, most …

MobileSal: Extremely efficient RGB-D salient object detection

YH Wu, Y Liu, J Xu, JW Bian, YC Gu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The high computational cost of neural networks has prevented recent successes in RGB-D
salient object detection (SOD) from benefiting real-world applications. Hence, this article …

Dense attention-guided cascaded network for salient object detection of strip steel surface defects

X Zhou, H Fang, Z Liu, B Zheng, Y Sun… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Recently, more and more researchers have paid attention to the surface defect detection of
strip steel. However, the performance of existing methods usually fails to detect the defect …

Modality-induced transfer-fusion network for RGB-D and RGB-T salient object detection

G Chen, F Shao, X Chai, H Chen… - … on Circuits and …, 2022 - ieeexplore.ieee.org
The ability of capturing the complementary information of multi-modality data is critical to the
development of multi-modality salient object detection (SOD). Most of existing studies …