Perceptual video quality assessment: A survey
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 …
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
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 …
performance. However, the majority of applications that require object detection are …
Zoom in and out: A mixed-scale triplet network for camouflaged object detection
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 …
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 …
involve several floating-point operations and have numerous parameters, resulting in slow …
P2T: Pyramid pooling transformer for scene understanding
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 …
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) …
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
Recently, relying on convolutional neural networks (CNNs), many methods for salient object
detection in optical remote-sensing images (ORSI-SOD) are proposed. However, most …
detection in optical remote-sensing images (ORSI-SOD) are proposed. However, most …
MobileSal: Extremely efficient RGB-D salient object detection
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 …
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
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 …
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
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 …
development of multi-modality salient object detection (SOD). Most of existing studies …