SGR: An Improved Point-Based Method for Remote Sensing Object Detection via Dual-Domain Alignment Saliency-Guided RepPoints
S Mai, Y You, Y Feng - Remote Sensing, 2024 - mdpi.com
With the advancement of deep neural networks, several methods leveraging convolution
neural networks (CNNs) have gained prominence in the field of remote sensing object …
neural networks (CNNs) have gained prominence in the field of remote sensing object …
Performance Evaluation of Optimizers for Deformable-DETR in Natural Disaster Damage Assessment
M Dinh, VL Bui, DC Bui, DP Long… - … Analysis and Pattern …, 2022 - ieeexplore.ieee.org
Global natural disasters are becoming more frequent and severe as a result of climate
change. Recent advances in computer vision, particularly deep learning-based techniques …
change. Recent advances in computer vision, particularly deep learning-based techniques …
Empirical Study of Real-time One-Stage Object Detection Methods on Recyclable Waste Dataset
One-stage object detection methods have proven their advantage in terms of both speed
and accuracy for addressing vision tasks in real-time scenarios, including Recyclable Waste …
and accuracy for addressing vision tasks in real-time scenarios, including Recyclable Waste …
[PDF][PDF] Rethinking Classification of Oriented Object Detection in Aerial Images
With the help of the rapid development of technol-ogy, especially the prevalence of UAVs
(unmanned aerial vehicles), object detection in aerial images gains much more attention in …
(unmanned aerial vehicles), object detection in aerial images gains much more attention in …