UNSUPERVISED VIDEO SHOT DETECTION USING CLUSTERING ENSEMBLE WITH A COLOR GLOBAL SCALE-INVARIANT FEATURE TRANSFORM DESCRIPTOR

Unsupervised Video Shot Detection Using Clustering Ensemble with a Color Global Scale-Invariant Feature Transform Descriptor

Scale-invariant feature transform (SIFT) transforms a grayscale image into scale-invariant coordinates of local features that are invariant Plein air - Femme - Chaussures - Sandale to image scale, rotation, and changing viewpoints.Because of its scale-invariant properties, SIFT has been successfully used for object recognition and content-based ima

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Ecological and Human Diet Value of Locusts in a Changing World

Since ancient times, locusts have been serious pests wreaking havoc on settled agriculture throughout much of the world.Numerous locust practices have been developed to control infestations.This has led to most commentaries portraying locust infestations only in a negative light while focusing on finding best management practices for suppressing lo

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FEA-Swin: Foreground Enhancement Attention Swin Transformer Network for Accurate UAV-Based Dense Object Detection

UAV-based object detection has recently attracted a lot of attention due to its diverse applications.Most of the existing convolution neural network based object detection models can perform well in common object detection cases.However, due to the fact that objects in UAV images are spatially distributed in a very dense manner, these methods have

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