Hash-based remote sensing image retrieval
In recent years, the rapid development of remote sensing (RS) technology has led to a
drastic increase in the availability of RS images. This calls for the need to develop new …
drastic increase in the availability of RS images. This calls for the need to develop new …
On the relative value of clustering techniques for unsupervised effort-aware defect prediction
P Yang, L Zhu, Y Zhang, C Ma, L Liu, X Yu… - Expert Systems with …, 2024 - Elsevier
Abstract Unsupervised Effort-Aware Defect Prediction (EADP) uses unlabeled data to
construct a model and ranks software modules according to the software feature values. Xu …
construct a model and ranks software modules according to the software feature values. Xu …
Decoupled feature pyramid learning for multi-scale object detection in low-altitude remote sensing images
Recently, low-altitude remote sensing platforms are widely used for various practical
applications. Object detection is a basic and significant technology, serving them. The scale …
applications. Object detection is a basic and significant technology, serving them. The scale …
Data preparation for deep learning based code smell detection: A systematic literature review
Abstract Code Smell Detection (CSD) plays a crucial role in improving software quality and
maintainability. And Deep Learning (DL) techniques have emerged as a promising …
maintainability. And Deep Learning (DL) techniques have emerged as a promising …
Large language model ChatGPT versus small deep learning models for self‐admitted technical debt detection: Why not together?
Given the increasing complexity and volume of Self‐Admitted Technical Debts (SATDs), how
to efficiently detect them becomes critical in software engineering practice for improving …
to efficiently detect them becomes critical in software engineering practice for improving …
Cross-modal pre-aligned method with global and local information for remote-sensing image and text retrieval
Z Sun, M Zhao, G Liu, A Kaup - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, remote sensing cross-modal text-image retrieval (RSCTIR) has attracted
considerable attention owing to its convenience and information mining capabilities …
considerable attention owing to its convenience and information mining capabilities …
Revisiting Code Smell Severity Prioritization using learning to rank techniques
Abstract Code Smell Severity Prioritization (CSSP) is crucial in helping software developers
minimize software maintenance costs and enhance software quality, particularly when faced …
minimize software maintenance costs and enhance software quality, particularly when faced …
Multi-Prior Graph Autoencoder with Ranking-Based Band Selection for Hyperspectral Anomaly Detection
N Wang, Y Shi, H Li, G Zhang, S Li, X Liu - Remote Sensing, 2023 - mdpi.com
Hyperspectral anomaly detection (HAD) is an important technique used to identify objects
with spectral irregularity that can contribute to object-based image analysis. Latterly …
with spectral irregularity that can contribute to object-based image analysis. Latterly …
Depth as attention to learn image representations for visual localization, using monocular images
D Hettiarachchi, Y Tian, H Yu, S Kamijo - Journal of Visual Communication …, 2024 - Elsevier
Image retrieval algorithms are widely used in visual localization tasks. In visual localization,
we can benefit from retrieving the images depicting same landmark taken from a pose …
we can benefit from retrieving the images depicting same landmark taken from a pose …
Consistency Center-Based Deep Cross-Modal Hashing for Multi-Source Remote Sensing Image Retrieval
Cross-modal hashing aims to retrieve similar images from large-scale Earth observation
(EO) data archives, which typically contain multiple satellite sources of remote sensing (RS) …
(EO) data archives, which typically contain multiple satellite sources of remote sensing (RS) …