Single Shot Anchor Refinement Network for Oriented Object Detection in Optical Remote Sensing Imagery
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2924643
Abstract: Object detection is a challenging task in the field of remote sensing applications due to the complex backgrounds and uncertain orientation of targets. Compared with the horizontal bounding box, the oriented bounding box can provide… read more here.
Keywords: oriented object; object detection; single shot; anchor ... See more keywords
Dual-Resolution and Deformable Multihead Network for Oriented Object Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3230797
Abstract: Compared with general object detection, the scale variations, arbitrary orientations, and complex backgrounds of objects in remote sensing images make it more challenging to detect oriented objects. Especially for oriented objects that have large aspect… read more here.
Keywords: network; remote sensing; oriented object; detection ... See more keywords
Oriented Object Detection by Searching Corner Points in Remote Sensing Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3079314
Abstract: Oriented object detection in remote sensing images has drawn great attention since it can provide more accurate bounding boxes. We propose a one-stage anchor-free network based on searching four corner points of an object, which… read more here.
Keywords: remote sensing; corner points; oriented object; corner ... See more keywords
Quantizing Oriented Object Detection Network via Outlier-Aware Quantization and IoU Approximation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3031490
Abstract: In recent years, a large number of quantization schemes have been proposed for compressing convolutional neural networks (CNN). However, most of them have the following problems: 1) when there are outliers in the weight, post-training… read more here.
Keywords: oriented object; outlier aware; quantization; object detection ... See more keywords
Point-Based Estimator for Arbitrary-Oriented Object Detection in Aerial Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3020165
Abstract: Object detection in aerial images is important for a wide range of applications. The most challenging dilemma in this task is the arbitrary orientation of objects, and many deep-learning-based methods are proposed to address this… read more here.
Keywords: oriented object; object detection; based estimator; point based ... See more keywords
Center-Boundary Dual Attention for Oriented Object Detection in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3069056
Abstract: Recently, anchor-free object detectors have shown promising performance in oriented object detection on remote sensing images. However, the objects in remote sensing images always have large variations in arbitrary orientations, sizes, and aspect ratios, which… read more here.
Keywords: oriented object; remote sensing; attention; object detection ... See more keywords
SOCDet: A Lightweight and Accurate Oriented Object Detection Network for Satellite On-Orbit Computing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3269642
Abstract: In recent years, the performance of the deep-learning-based object detection models for remote-sensing images (RSIs) improves with the increase of the hyperparameter scale. However, the state-of-the-art detection models are generally too cumbersome to adapt to… read more here.
Keywords: network; detection network; network satellite; oriented object ... See more keywords
FFN: Fountain Fusion Net for Arbitrary-Oriented Object Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3276995
Abstract: Arbitrary-oriented object detection (AOOD) is widely used in aerial images because of its efficient object representation. However, current detectors use the over-standardized feature extraction structure, resulting in detectors having no ability to adaptively readjust feature… read more here.
Keywords: arbitrary oriented; detection units; oriented object; detection ... See more keywords
Learning Orientation-aware Distances for Oriented Object Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3278933
Abstract: Oriented object detectors have suffered severely from the discontinuous boundary problem for a long time. In this work, we ingeniously avoid this problem by relating regression outputs to regression target orientations. The core idea of… read more here.
Keywords: regression; learning orientation; one stage; orientation aware ... See more keywords
Multi-Oriented Object Detection in Aerial Images With Double Horizontal Rectangles
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3191753
Abstract: Most existing methods adopt the quadrilateral or rotated rectangle representation to detect multi-oriented objects. Yet, the same oriented object may correspond to several different representations, due to different vertex ordering, or angular periodicity and edge… read more here.
Keywords: horizontal rectangles; oriented object; object detection; double horizontal ... See more keywords