IEEE

Deeply Supervised Block-Wise Neural Architecture Search

Abstract: Neural architecture search (NAS) has shown great promise in automatically designing neural network models. Recently, block-wise NAS has been proposed to alleviate deep coupling problem ...
Frontiers

Automated detection of pinworm parasite eggs using YOLO convolutional block attention module for enhanced microscopic image analysis

Introduction: Parasitic infections remain a major public health concern, particularly in healthcare and community settings where rapid and accurate diagnosis is essential for effective treatment and ...
IEEE

DBARCT: Road Extraction Based on Double-Branch Architecture and Random Block Coding Transformer

Abstract: Although transformer models are main network architectures for the delineation of roads from remote sensing imagery, they have critical limitations due to their regular patch mechanism and ...
Frontiers

Application of real-time detection transformer based on convolutional block attention module and grouped convolution in maize seedling

Introduction: The intelligent detection and counting of maize seedlings constitute crucial components in future smart maize cultivation and breeding. However, the detection of maize seedlings in field ...