A rendering‐based lightweight network for segmentation of high ...

However, the discrete nature of feature extraction in mainstream deep learning algorithms and computational limitations hinder refined ...

A rendering-based lightweight network for segmentation of high ...

However, the discrete nature of feature extraction in mainstream deep learning algorithms and computational limitations hinder refined ...

A rendering-based lightweight network for segmentation of high ...

A rendering-based lightweight network for segmentation of high-resolution crack images. Chu, Honghu; Yu, Diran; Chen, Weiwei; Ma, Jun; Deng, Lu; (2024) A ...

A rendering‐based lightweight network for segmentation of high ...

A rendering‐based lightweight network for segmentation of high‐resolution crack images. Honghu Chu 1, 2. ,. Diran Yu 2. ,. Weiwei Chen 2. ,. Jun Ma 3. ,. Lu ...

A rendering‐based lightweight network for segmentation of high ...

Citations from other publications for 'rendering‐based lightweight network for segmentation of high‐resolution crack images'.

(PDF) High Quality Segmentation for Ultra High-resolution Images

... segmentation tasks for multi-task training. ... A rendering-based lightweight network for segmentation of high-resolution crack images.

EfficientCrackNet: A Lightweight Model for Crack Segmentation - arXiv

Consequently, improving the precision of crack segmentation remains challenging [44] . In contrast, transformer-based networks can capture ...

A lightweight segmentation network for endoscopic surgical ...

To address these issues, this article proposes a lightweight semantic segmentation model based on edge refinement and efficient self-attention.

A lightweight network for smoke semantic segmentation

Deepening and widening is an effective and simple way to improve accuracy of networks. To achieve higher accuracy, some CNN based segmentation methods even ...

LOCTseg: A lightweight fully convolutional network for end-to-end ...

Segmentation of retinal layers, fluids, and epiretinal membranes from OCT b-scans is an active area of research. •. The method achieves high performance with ...

Lightweight multiscale framework for segmentation of high ...

Deep convolutional neural network semantic segmentation has played a significant role in remote sensing applications due to its capability ...

Deep Learning-Based Real-Time Crack Segmentation for Pavement ...

A lightweight crack segmentation model based on a bilateral segmentation network, which achieves a good balance between inference speed and segmentation ...

PointRend: Image Segmentation As Rendering - CVF Open Access

segmentation as a rendering problem. From this vantage, we present the PointRend (Point-based Rendering) neural network module: a module that performs point- ...

A lightweight segmentation network for endoscopic surgical ... - PeerJ

A lightweight segmentation network for endoscopic surgical instruments based on edge refinement and efficient self-attention

RBNet: An Ultra Fast Rendering-based Architecture for Railway ...

process, the residual connections in this network are utilized to retrieve the specifics of the low-level features. • The segmentation model can achieve high ...

A lightweight segmentation network for endoscopic surgical ... - NCBI

... lightweight semantic segmentation model based on edge ... Deep learning-based image segmentation methods, when combined with high ...

RTINet: A Lightweight and High-Performance Railway Turnout ...

RTINet: A Lightweight and High-Performance Railway Turnout Identification Network Based on Semantic Segmentation ... These attributes render depthwise ...

Fine‐grained crack segmentation for high‐resolution images via a ...

A lightweight deep learning network based on knowledge distillation for applications of efficient crack segmentation on embedded devices.

Lightweight decoder U-net crack segmentation network based on ...

... A rendering-based lightweight network for segmentation of high-resolution crack images. Computer-Aided Civil and Infrastructure Engineering (2024). https ...

Mamba Assists in Lightweight UNet for Medical Image Segmentation

However, being a Convolutional Neural Network-based (CNN-based) model, UNet grapples with the inherent locality of convolution operations, which ...