Learning in audio-visual context: A review, analysis, and new perspective
Sight and hearing are two senses that play a vital role in human communication and scene
understanding. To mimic human perception ability, audio-visual learning, aimed at …
understanding. To mimic human perception ability, audio-visual learning, aimed at …
Medical image analysis based on deep learning approach
Medical imaging plays a significant role in different clinical applications such as medical
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …
procedures used for early detection, monitoring, diagnosis, and treatment evaluation of …
Shifting more attention to video salient object detection
The last decade has witnessed a growing interest in video salient object detection (VSOD).
However, the research community long-term lacked a well-established VSOD dataset …
However, the research community long-term lacked a well-established VSOD dataset …
A comprehensive survey on video saliency detection with auditory information: the audio-visual consistency perceptual is the key!
Video saliency detection (VSD) aims at fast locating the most attractive
objects/things/patterns in a given video clip. Existing VSD-related works have mainly relied …
objects/things/patterns in a given video clip. Existing VSD-related works have mainly relied …
Exploring rich and efficient spatial temporal interactions for real-time video salient object detection
We have witnessed a growing interest in video salient object detection (VSOD) techniques
in today's computer vision applications. In contrast with temporal information (which is still …
in today's computer vision applications. In contrast with temporal information (which is still …
RGB-T image saliency detection via collaborative graph learning
Z Tu, T **a, C Li, X Wang, Y Ma… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Image saliency detection is an active research topic in the community of computer vision and
multimedia. Fusing complementary RGB and thermal infrared data has been proven to be …
multimedia. Fusing complementary RGB and thermal infrared data has been proven to be …
Depth-quality-aware salient object detection
The existing fusion-based RGB-D salient object detection methods usually adopt the
bistream structure to strike a balance in the fusion trade-off between RGB and depth (D) …
bistream structure to strike a balance in the fusion trade-off between RGB and depth (D) …
Improved saliency detection in RGB-D images using two-phase depth estimation and selective deep fusion
To solve the saliency detection problem in RGB-D images, the depth information plays a
critical role in distinguishing salient objects or foregrounds from cluttered backgrounds. As …
critical role in distinguishing salient objects or foregrounds from cluttered backgrounds. As …
Improved robust video saliency detection based on long-term spatial-temporal information
This paper proposes to utilize supervised deep convolutional neural networks to take full
advantage of the long-term spatial-temporal information in order to improve the video …
advantage of the long-term spatial-temporal information in order to improve the video …
Multi-stream attention-aware graph convolution network for video salient object detection
M Xu, P Fu, B Liu, J Li - IEEE Transactions on Image …, 2021 - ieeexplore.ieee.org
Recent advances in deep convolution neural networks (CNNs) boost the development of
video salient object detection (SOD), and many remarkable deep-CNNs video SOD models …
video salient object detection (SOD), and many remarkable deep-CNNs video SOD models …