Few-shot object detection on remote sensing images
X Li, J Deng, Y Fang - IEEE Transactions on Geoscience and …, 2021 - ieeexplore.ieee.org
In this article, we deal with the problem of object detection on remote sensing images.
Previous researchers have developed numerous deep convolutional neural network (CNN) …
Previous researchers have developed numerous deep convolutional neural network (CNN) …
Lightweight salient object detection in optical remote-sensing images via semantic matching and edge alignment
Recently, relying on convolutional neural networks (CNNs), many methods for salient object
detection in optical remote-sensing images (ORSI-SOD) are proposed. However, most …
detection in optical remote-sensing images (ORSI-SOD) are proposed. However, most …
Multiscale feature enhancement network for salient object detection in optical remote sensing images
Z Wang, J Guo, C Zhang, B Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Salient object detection (SOD) in optical remote sensing images (RSIs) is a valuable and
challenging task. Although many SOD methods for RSIs have been proposed, there are still …
challenging task. Although many SOD methods for RSIs have been proposed, there are still …
Adjacent context coordination network for salient object detection in optical remote sensing images
Salient object detection (SOD) in optical remote sensing images (RSIs), or RSI-SOD, is an
emerging topic in understanding optical RSIs. However, due to the difference between …
emerging topic in understanding optical RSIs. However, due to the difference between …
Hybrid feature aligned network for salient object detection in optical remote sensing imagery
Recently, salient object detection in optical remote sensing images (RSI-SOD) has attracted
great attention. Benefiting from the success of deep learning and the inspiration of natural …
great attention. Benefiting from the success of deep learning and the inspiration of natural …
Salient object detection in optical remote sensing images driven by transformer
Existing methods for Salient Object Detection in Optical Remote Sensing Images (ORSI-
SOD) mainly adopt Convolutional Neural Networks (CNNs) as the backbone, such as VGG …
SOD) mainly adopt Convolutional Neural Networks (CNNs) as the backbone, such as VGG …
Aggregating transformers and CNNs for salient object detection in optical remote sensing images
Salient object detection (SOD) in optical remote sensing images (RSIs) plays a significant
role in many areas such as agriculture, environmental protection, and the military. However …
role in many areas such as agriculture, environmental protection, and the military. However …
Orsi salient object detection via bidimensional attention and full-stage semantic guidance
The application of optical remote sensing images (ORSIs) is prevalent in many fields.
Accordingly, ORSI-oriented salient object detection (SOD) has attracted more attention in …
Accordingly, ORSI-oriented salient object detection (SOD) has attracted more attention in …
Transcending pixels: boosting saliency detection via scene understanding from aerial imagery
Existing remote sensing image salient object detection (RSI-SOD) methods widely perform
object-level semantic understanding with pixel-level supervision, but ignore the image-level …
object-level semantic understanding with pixel-level supervision, but ignore the image-level …
SMNet: symmetric multi-task network for semantic change detection in remote sensing images based on CNN and transformer
Y Niu, H Guo, J Lu, L Ding, D Yu - Remote Sensing, 2023 - mdpi.com
Deep learning has achieved great success in remote sensing image change detection (CD).
However, most methods focus only on the changed regions of images and cannot accurately …
However, most methods focus only on the changed regions of images and cannot accurately …