Probabilistic faster R-CNN with stochastic region proposing: Towards object detection and recognition in remote sensing imagery

D Yi, J Su, WH Chen - Neurocomputing, 2021 - Elsevier
Object detection is one of the most important tasks involved in intelligent agriculture systems,
especially in pest detection. This paper focuses on a most devastated agricultural disaster …

Attention-induced semantic and boundary interaction network for camouflaged object detection

Q Zhang, X Sun, Y Chen, Y Ge, H Bi - Computer Vision and Image …, 2023 - Elsevier
The high intrinsic similarity between camouflaged objects and the background makes
camouflaged object detection (COD) more challenging than traditional salient object …

A Universal Multi-View Guided Network for Salient Object and Camouflaged Object Detection

X Song, P Zhang, X Lu, X Hei… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Salient object detection and camouflaged object detection have attracted increasing
attention due to their significant practical applications. While these two domains share …

Development of a Hybrid Method for Multi-Stage End-to-End Recognition of Grocery Products in Shelf Images

CG Melek, E Battini Sonmez, H Ayral, S Varli - Electronics, 2023 - mdpi.com
Product recognition on grocery shelf images is a compelling task of object detection
because of the similarity between products, the presence of the different scale of product …

Fast camouflaged object detection via multi-scale feature-enhanced network

B Zhou, K Yang, Z Gao - Signal, Image and Video Processing, 2024 - Springer
The aim of camouflaged object detection (COD) is to identify objects that are hidden or
camouflaged in the visual scene. Since camouflaged objects have fuzzy boundaries and are …

Noxious beings Repulsion System Using Ultrasonic Transducers

A Kumar, AH Harkare, BA Neole… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Agriculture sector is the backbone of the Indian Economy. As per the Centre for Monitoring
Indian Economy (CMIE) data, it holds a 38% share in total employment of the country's …

Automatic modelling of urban subsurface with ground-penetrating radar using multi-agent classification method

TX Luo, P Yuan, S Zhu - Geo-spatial Information Science, 2022 - Taylor & Francis
The subsurface of urban cities is becoming increasingly congested. In-time records of
subsurface structures are of vital importance for the maintenance and management of urban …

Feasibility Analysis in Tracking Algorithms for Pattern Recognition Through the Lip Articulators

H Gomes, R Limão, A Santos - IEEE Access, 2020 - ieeexplore.ieee.org
Problems in speech and basic emission of vocal sounds are commonly observed in
children, however the task of identifying the origin of such disability is complex and …

Model the underground utility from GPR data with Aggregate Channel Feature

TXH Luo, WWL Lai - 18th International Conference on Ground …, 2020 - library.seg.org
This study proposes a method to construct GIS models for underground utilities from GPR
data. The method applies Aggregate Channel Feature (ACF) to automatically detect GPR …

[CITAZIONE][C] Development of a Hybrid Method for Multi-Stage End-to-End Recognition of Grocery Products in Shelf Images. Electronics 2023, 12, 3640