Deformable Part Models for Complex Object Detection in Remote Sensing Imagery

Pool, Nathan; Vatsavai, Ranga Raju

doi:10.1145/3282834.3282843

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Deformable Parts Model (Dpm)1

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2020

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“…In 2018, Pool et al [45] have explored the state of the art, deformable part models (DPMs), and their applicability for complex object detection in very high-resolution satellite images. The authors have investigated the landscape of research regarding DPM, how this class of methods for object detection has evolved, and what remains to be explored to make the method more suitable for high-level, complex geospatial object understanding.…”

Section: Deformable Parts Model (Dpm)mentioning

confidence: 99%

An Extensive Review on Recent Evolutions in Object Detection Algorithms

Nandhini¹

2020

IJETER

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The domain of Computer Vision Algorithms has achieved exemplary development in the past few years. Owing to its wide range of applications, especially in object detection, image classification and image segmentation, it has gained its own significance in this technological era. This paper provides a significant remark on fractal and multifractal methods for object identification in images and also a keen review of various Computer Vision algorithms and their features for detecting objects. We have also significantly analyzed the previous contributions on various algorithms discussed for the object detection process.

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Section: Deformable Parts Model (Dpm)mentioning

confidence: 99%

An Extensive Review on Recent Evolutions in Object Detection Algorithms

Nandhini¹

2020

IJETER

View full text Add to dashboard Cite

show abstract

Deformable Part Models for Complex Object Detection in Remote Sensing Imagery

Cited by 1 publication

References 12 publications

An Extensive Review on Recent Evolutions in Object Detection Algorithms

An Extensive Review on Recent Evolutions in Object Detection Algorithms

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