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06/29/2023
The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One Shot
Segmentation is an essential step for remote sensing image processing. T...
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05/04/2023
MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture
Multi-task learning has proven to be effective in improving the performa...
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04/25/2023
The Potential of Visual ChatGPT For Remote Sensing
Recent advancements in Natural Language Processing (NLP), particularly i...
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09/03/2021
Weakly Supervised Few-Shot Segmentation Via Meta-Learning
Semantic segmentation is a classic computer vision task with multiple ap...
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02/08/2021
Semantic Segmentation with Labeling Uncertainty and Class Imbalance
Recently, methods based on Convolutional Neural Networks (CNN) achieved ...
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02/08/2021
Counting and Locating High-Density Objects Using Convolutional Neural Network
This paper presents a Convolutional Neural Network (CNN) approach for co...
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02/05/2021
A Deep Learning Approach Based on Graphs to Detect Plantation Lines
Deep learning-based networks are among the most prominent methods to lea...
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01/22/2021
A Review on Deep Learning in UAV Remote Sensing
Deep Neural Networks (DNNs) learn representation from data with an impre...
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12/31/2020