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A survey of color image watermarking: State-of-the-art and research directions
Color image watermarking has achieved great success in various applications such as copy
protection, content authentication, tamper detection and recovery, etc. The present paper …
protection, content authentication, tamper detection and recovery, etc. The present paper …
A review of deep learning for video captioning
Video captioning (VC) is a fast-moving, cross-disciplinary area of research that comprises
contributions from domains such as computer vision, natural language processing …
contributions from domains such as computer vision, natural language processing …
YOLOv4_Drone: UAV image target detection based on an improved YOLOv4 algorithm
L Tan, X Lv, X Lian, G Wang - Computers & Electrical Engineering, 2021 - Elsevier
Advanced communications and networks have greatly improved the user experience, and
unmanned aerial vehicle (UAV) are an important technology that supports people's daily life …
unmanned aerial vehicle (UAV) are an important technology that supports people's daily life …
An object tracking framework with recapture based on correlation filters and Siamese networks
J Zhang, J Sun, J Wang, Z Li, X Chen - Computers & Electrical Engineering, 2022 - Elsevier
Recently, both correlation filters-based and Siamese-based trackers have achieved great
progress in the field of visual object tracking. Whereas, some trackers perform not that well …
progress in the field of visual object tracking. Whereas, some trackers perform not that well …
A context hierarchical integrated network for medical image segmentation
Arising from low contrast, high similarity, and different scales between diverse tissues in 2D
medical images, it is challenging to accurately segment the regions of interest. To address …
medical images, it is challenging to accurately segment the regions of interest. To address …
Mci-net: multi-scale context integrated network for liver ct image segmentation
Owing to the various object scales and high similarity with the surrounding organs (eg,
kidney, stomach, and spleen), it is difficult to accurately segment the liver region from the …
kidney, stomach, and spleen), it is difficult to accurately segment the liver region from the …
Deep hierarchical LSTM networks with attention for video summarization
This paper studies the video summarization task by formulating it as a sequential decision-
making process, in which the input is a sequence of video frames and the output is a subset …
making process, in which the input is a sequence of video frames and the output is a subset …
Spatial-spectral feature extraction of hyperspectral images for wheat seed identification
Hyperspectral images of wheat can identify seeds quickly, accurately, and nondestructively.
However, most of the existing hyperspectral classification methods only use spectral …
However, most of the existing hyperspectral classification methods only use spectral …
Deep learning approaches based on transformer architectures for image captioning tasks
This paper focuses on visual attention, a state-of-the-art approach for image captioning tasks
within the computer vision research area. We study the impact that different hyperparemeter …
within the computer vision research area. We study the impact that different hyperparemeter …
Intrusion detection model using gene expression programming to optimize parameters of convolutional neural network for energy internet
D Song, X Yuan, Q Li, J Zhang, M Sun, X Fu… - Applied Soft …, 2023 - Elsevier
The open, interconnected, and shared operational characteristics of the energy Internet
introduce more sophisticated cybersecurity attacks. How to accurately detect these cyber …
introduce more sophisticated cybersecurity attacks. How to accurately detect these cyber …