SwinNet: Swin transformer drives edge-aware RGB-D and RGB-T salient object detection
Convolutional neural networks (CNNs) are good at extracting contexture features within
certain receptive fields, while transformers can model the global long-range dependency …
certain receptive fields, while transformers can model the global long-range dependency …
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 …
Virtual reality solutions employing artificial intelligence methods: A systematic literature review
T Ribeiro de Oliveira, B Biancardi Rodrigues… - ACM Computing …, 2023 - dl.acm.org
Although there are methods of artificial intelligence (AI) applied to virtual reality (VR)
solutions, there are few studies in the literature. Thus, to fill this gap, we performed a …
solutions, there are few studies in the literature. Thus, to fill this gap, we performed a …
Eye-tracked virtual reality: a comprehensive survey on methods and privacy challenges
Latest developments in computer hardware, sensor technologies, and artificial intelligence
can make virtual reality (VR) and virtual spaces an important part of human everyday life …
can make virtual reality (VR) and virtual spaces an important part of human everyday life …
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 …
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) …
Data-level recombination and lightweight fusion scheme for RGB-D salient object detection
Existing RGB-D salient object detection methods treat depth information as an independent
component to complement RGB and widely follow the bistream parallel network architecture …
component to complement RGB and widely follow the bistream parallel network architecture …
Adaptive fusion of multi-scale YOLO for pedestrian detection
WY Hsu, WY Lin - IEEE Access, 2021 - ieeexplore.ieee.org
Although pedestrian detection technology is constantly improving, pedestrian detection
remains challenging because of the uncertainty and diversity of pedestrians in different …
remains challenging because of the uncertainty and diversity of pedestrians in different …
A multi model ensemble based deep convolution neural network structure for detection of COVID19
The year 2020 will certainly be remembered for the COVID-19 outbreak. First reported in
Wuhan city of China back in December 2019, the number of people getting affected by this …
Wuhan city of China back in December 2019, the number of people getting affected by this …
Fast edit propagation for 360 degree panoramas using function interpolation
Due to its intuitive stroke-based user interface, edit propagation has wide applications such
as image recoloring and relighting, tone editing, image matting, etc. This paper presents a …
as image recoloring and relighting, tone editing, image matting, etc. This paper presents a …