Search
Search Results
-
Global Dense Two-Branch Cascade Network for Underwater Image Enhancement
In recent years, underwater image enhancement techniques has received a wide range of attention from related researchers with the rise of marine...
-
Compact interactive dual-branch network for real-time semantic segmentation
The traditional complete dual-branch structure is effective for semantic segmentation tasks. However, it is redundant in some sense. Moreover, the...
-
Blsnet: a tri-branch lightweight network for gesture segmentation against cluttered backgrounds
Hand gesture segmentation is an essential step to recognize hand gestures for human–robot interaction. However, complex backgrounds and the variety...
-
Triple-ATFME: Triple-Branch Attention Fusion Network for Micro-Expression Recognition
Micro-expressions (MEs) are momentary and subtle facial expression changes that typically have a short duration to reveal people's genuine emotions...
-
Dual-branch feature fusion dehazing network via multispectral channel attention
Image information degradation significantly complicates single-image dehazing. Despite the noteworthy progress of learning-based methods in removing...
-
TARN: a lightweight two-branch adaptive residual network for image super-resolution
Currently, single-image super-resolution (SISR) methods based on convolutional neural networks have achieved remarkable results. However, most...
-
A novel twin branch network based on mutual training strategy for ship detection in SAR images
There are inconsistent tasks and insufficient training in the SAR ship detection model, which severely limit the detection performance of the model....
-
DBCGN: dual branch cascade graph network for skin lesion segmentation
Accurate segmentation of skin lesions in dermoscopic images is essential for early diagnosis and prevention of skin cancer. However, it is still a...
-
Series arc fault detection method based on a residual deformable convolutional network for complex branch circuit
When a series arc fault (SAF) occurs in one branch of a low-voltage alternating current power distribution system with complex connections and many...
-
MAFNet: dual-branch fusion network with multiscale atrous pyramid pooling aggregate contextual features for real-time semantic segmentation
Currently, many real-time semantic segmentation networks aim for heightened accuracy, inevitably leading to increased computational complexity and...
-
Efficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection
Many endeavors have sought to develop countermeasure techniques as enhancements on Automatic Speaker Verification (ASV) systems, in order to make...
-
Dual-branch attention module-based network with parameter sharing for joint sound event detection and localization
The goal of sound event detection and localization (SELD) is to identify each individual sound event class and its activity time from a piece of...
-
PDBNet: Parallel Dual Branch Network for Real-time Semantic Segmentation
To make a trade-off between accuracy and inference speed in real-time applications on the unmanned mobile platform, a novel neural network, named...
-
Dual Branch Image-Guided Network with Multi-stage Iterative Refinement for Depth Completion
Image-guided depth completion focuses on predicting dense depth information using its sparse measurement and the corresponding aligned RGB image....
-
Soft-Attention Mask Branch Network for Infrared Small Target Detection
Due to its insensitivity to environmental impact factors like heavy fog or cloud, the application of infrared small target detection technology is...
-
Dual-Branch Enhanced Network for Change Detection
Change detection is an essential task in intelligent monitoring, and the accuracy of detection is of central importance for subsequent target...
-
Micro-expression Recognition Based on Dual-Branch Swin Transformer Network
Micro-expression (ME) refers to the facial expression that flashes instantly and can reveal the real feelings and emotions of people. Compared with...
-
New Single Image Rain Removal Algorithm Based on Dual Parallel Branch Residual Overlay Network
The end-to-end convolutional neural network models have been widely used in single image de-raining, which can extract clean background images from...
-
Optimization of the BANK’s Branch Network Using Machine Learning Methods
The pandemic has made many companies move their business processes to online. Financial institutions, especially banks, have been quite active in...
-
A deep multi-branch attention model for histopathological breast cancer image classification
Since the impressive superior performance demonstrated by deep learning methods is widely used in histopathological image analysis and diagnosis,...
