Single image denoising via a new lightweight learning-based model
Restoring a high-quality image from a noisy version poses a significant challenge in
computer vision, particularly in today's context where high-resolution and large-sized …
computer vision, particularly in today's context where high-resolution and large-sized …
Generative Adversarial Networks (GANs) for Image Augmentation in Farming: A Review
Enhancing model performance in agricultural image analysis faces challenges due to
limited datasets, biological variability, and uncontrolled environments. Deep learning …
limited datasets, biological variability, and uncontrolled environments. Deep learning …
Fusionlungnet: Multi-scale fusion convolution with refinement network for lung ct image segmentation
Early detection of lung cancer is crucial as it increases the chances of successful treatment.
Automatic lung image segmentation assists doctors in identifying diseases such as lung …
Automatic lung image segmentation assists doctors in identifying diseases such as lung …
Multi-scale generative adversarial network with multi-head external attention for image inpainting
G Chen, Q Feng, X He, J Yao - IEEE Access, 2024 - ieeexplore.ieee.org
Inpainting images that have sizable missing blocks presents a considerable challenge in
terms of preserving visual consistency and attaining a convincing result. In this study, the …
terms of preserving visual consistency and attaining a convincing result. In this study, the …
Can deep learning wound segmentation algorithms developed for a dataset be effective for another dataset? A specific focus on diabetic foot ulcers
Diabetic foot ulcers (DFU) represent a severe complication, often resulting from poor
glycemic control, neuropathy, peripheral vascular disease, or inadequate foot care. DFUs …
glycemic control, neuropathy, peripheral vascular disease, or inadequate foot care. DFUs …
A novel network fusing transformer and CNN for road crack segmentation
M He, TL Lau - IEEE Access, 2024 - ieeexplore.ieee.org
Surface cracks pose a significant risk to the long-term strength and security of roads,
frequently resulting in safety issues. As a result, crack identification is of utmost importance …
frequently resulting in safety issues. As a result, crack identification is of utmost importance …
LMS-Net: A light-weight network for mungbean salt stress identification
H Zhang, J Liu, D Jiang, Z Luo, W Liang, S Li… - IEEE …, 2024 - ieeexplore.ieee.org
Salt stress is one of the main factors affecting mungbean production, and the assessment of
salt tolerance in mungbean typically requires long-term morphological observation or time …
salt tolerance in mungbean typically requires long-term morphological observation or time …
PDLFBR-Net: Partial Decoder Localization and Foreground-Background Refinement Network for Polyp Segmentation
Y Peng, M Feng, Z Zhai, Z Zheng - IEEE Access, 2024 - ieeexplore.ieee.org
Polyp segmentation is vital for early detection and treatment of colorectal cancer,
significantly improving patient prognosis. This paper proposes an efficient and precise polyp …
significantly improving patient prognosis. This paper proposes an efficient and precise polyp …
Generating Diverse Image Variations with Diffusion Models by Combining Intra-Image Self-Attention and Decoupled Cross-Attention
In this paper, we present a novel integration of Decoupled Cross-Attention and Intra-Image
Self-Attention within a diffusion model framework to generate diverse and coherent image …
Self-Attention within a diffusion model framework to generate diverse and coherent image …
Noise robust underwater fishing net recognition based on range gated imaging
Z Xu, X Wang, L Sun, B Song, Y Zhang, P Lei… - IEEE …, 2024 - ieeexplore.ieee.org
Underwater fishing net recognition plays an indispensable role in applications such as safe
navigation of unmanned underwater vehicles, protection of marine ecology and marine …
navigation of unmanned underwater vehicles, protection of marine ecology and marine …