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Remote Sensing Image Classification and Semantic Segmentation

With the rapid growth in remote sensing imaging technology, vast amounts of remote sensing data are generated, which is significant for land-monitoring systems, and agriculture, etc., for Earth, Mars, etc. In recent decades, deep learning techniques have

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DALES: Automated Tool for Detection, Annotation, Labelling and Segmentation of Multiple Objects in Multi-Camera Video Streams

In this paper, we propose a new software tool called DALES to extract semantic information from multi-view videos based on the analysis of their visual content. Our system is fully automatic and is well suited for multi-camera environment.
Olszewska, Joanna Isabelle, Bhat, M.
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S3M: Semantic Segmentation Sparse Mapping for UAVs with RGB-D Camera [PDF]

Unmanned Aerial Vehicles (UAVs) hold immense potential for critical applications, such as search and rescue operations, where accurate perception of indoor environments is paramount. However, the concurrent amalgamation of localization, 3D reconstruction,
Chong, Nak Young +4 more
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Management Information Services for Enhancing Interoperability in Radiology through Segmentation Techniques [PDF]

, 2007
An efficient information sharing environment can enhance interoperability within any organization. Healthcare organizations and hospitals, in particular, are no exception.
Kostagiolas, Petros A., Zimeras, Stelios, Karangelis, George +2 more
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Image segmentation, evaluation, and applications [PDF]

, 2010
This thesis aims to advance research in image segmentation by developing robust techniques for evaluating image segmentation algorithms. The key contributions of this work are as follows. First, we investigate the characteristics of existing measures for
McGuinness, Kevin
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Semantic Segmentation with Reverse Attention [PDF]