Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning
Published 2021 View Full Article
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Title
Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning
Authors
Keywords
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Journal
Remote Sensing
Volume 13, Issue 23, Pages 4774
Publisher
MDPI AG
Online
2021-12-01
DOI
10.3390/rs13234774
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Related references
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- Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images
- (2021) Tianyang Zhang et al. IEEE Transactions on Cybernetics
- HQ-ISNet: High-Quality Instance Segmentation for Remote Sensing Imagery
- (2020) Hao Su et al. Remote Sensing
- Sparse-Adaptive Hypergraph Discriminant Analysis for Hyperspectral Image Classification
- (2019) Fulin Luo et al. IEEE Geoscience and Remote Sensing Letters
- Vehicle Instance Segmentation From Aerial Image and Video Using a Multitask Learning Residual Fully Convolutional Network
- (2018) Lichao Mou et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Semisupervised Sparse Manifold Discriminative Analysis for Feature Extraction of Hyperspectral Images
- (2016) Fulin Luo et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
- (2016) Gong Cheng et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A survey on object detection in optical remote sensing images
- (2016) Gong Cheng et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Multi-class geospatial object detection and geographic image classification based on collection of part detectors
- (2014) Gong Cheng et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
- (2011) Joao Carreira et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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