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07/07/2023
A Deep Active Contour Model for Delineating Glacier Calving Fronts
Choosing how to encode a real-world problem as a machine learning task i...
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06/14/2023
RRSIS: Referring Remote Sensing Image Segmentation
Localizing desired objects from remote sensing images is of great use in...
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06/01/2023
Overcoming Language Bias in Remote Sensing Visual Question Answering via Adversarial Training
The Visual Question Answering (VQA) system offers a user-friendly interf...
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04/07/2023
Multilingual Augmentation for Robust Visual Question Answering in Remote Sensing Images
Aiming at answering questions based on the content of remotely sensed im...
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09/25/2022
Anomaly Detection in Aerial Videos with Transformers
Unmanned aerial vehicles (UAVs) are widely applied for purposes of inspe...
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09/22/2022
FuTH-Net: Fusing Temporal Relations and Holistic Features for Aerial Video Classification
Unmanned aerial vehicles (UAVs) are now widely applied to data acquisiti...
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06/27/2022
Self-supervised Learning in Remote Sensing: A Review
In deep learning research, self-supervised learning (SSL) has received g...
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06/24/2022
Self Supervised Learning for Few Shot Hyperspectral Image Classification
Deep learning has proven to be a very effective approach for Hyperspectr...
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05/06/2022
From Easy to Hard: Learning Language-guided Curriculum for Visual Question Answering on Remote Sensing Data
Visual question answering (VQA) for remote sensing scene has great poten...
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12/12/2021
Change Detection Meets Visual Question Answering
The Earth's surface is continually changing, and identifying changes pla...
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11/18/2021
Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks
Building height retrieval from synthetic aperture radar (SAR) imagery is...
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08/15/2021
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images
Most publicly available datasets for image classification are with singl...
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08/13/2021
Bi-Temporal Semantic Reasoning for the Semantic Change Detection of HR Remote Sensing Images
Semantic change detection (SCD) extends the change detection (CD) task t...
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08/02/2021
Self-supervised Audiovisual Representation Learning for Remote Sensing Data
Many current deep learning approaches make extensive use of backbone net...
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04/29/2021
A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features
Clouds are a very important factor in the availability of optical remote...
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04/07/2021
MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images
Aerial scene recognition is a fundamental research problem in interpreti...
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03/15/2021
Deep Reinforcement Learning for Band Selection in Hyperspectral Image Classification
Band selection refers to the process of choosing the most relevant bands...
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03/02/2021
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
Deep learning-based coastline detection algorithms have begun to outshin...
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01/10/2021
Semantic Segmentation of Remote Sensing Images with Sparse Annotations
Training Convolutional Neural Networks (CNNs) for very high resolution i...
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11/17/2020
CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images
Object retrieval and reconstruction from very high resolution (VHR) synt...
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06/17/2020
Deep Learning Meets SAR
Deep learning in remote sensing has become an international hype, but it...
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06/06/2020
Instance segmentation of buildings using keypoints
Building segmentation is of great importance in the task of remote sensi...
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05/18/2020
Cross-Task Transfer for Multimodal Aerial Scene Recognition
Aerial scene recognition is a fundamental task in remote sensing and has...
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05/18/2020
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition
Aerial scene recognition is a fundamental task in remote sensing and has...
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05/14/2020
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
Visual crowd counting has been recently studied as a way to enable peopl...
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01/30/2020
ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos
Along with the increasing use of unmanned aerial vehicles (UAVs), large ...
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12/19/2019
So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification
Access to labeled reference data is one of the grand challenges in super...
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07/16/2019
Relation Network for Multi-label Aerial Image Classification
Multi-label classification plays a momentous role in perceiving intricat...
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04/11/2019
A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes
Most current semantic segmentation approaches fall back on deep convolut...
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04/11/2019
A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes
Most current semantic segmentation approaches fall back on deep convolut...
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08/16/2018
R^3-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos
Vehicle detection is a significant and challenging task in aerial remote...
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07/30/2018
Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification
Aerial image classification is of great significance in remote sensing c...
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05/26/2018
Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network
Object detection and semantic segmentation are two main themes in object...
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05/05/2018
RiFCN: Recurrent Network in Fully Convolutional Network for Semantic Segmentation of High Resolution Remote Sensing Images
Semantic segmentation in high resolution remote sensing images is a fund...
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03/07/2018
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
Change detection is one of the central problems in earth observation and...
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02/28/2018
IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network
In this paper we tackle a very novel problem, namely height estimation f...
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01/25/2018
Identifying Corresponding Patches in SAR and Optical Images with a Pseudo-Siamese CNN
In this letter, we propose a pseudo-siamese convolutional neural network...
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10/11/2017
