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Found 3 papers, 1 papers with code
Conditioning Covert Geo-Location (CGL) Detection on Semantic Class Information
Recently, with the aim to incorporate knowledge about non-object image regions (hideouts, turns, and other obscured regions), a task for identification of potential hideouts termed Covert Geo-Location (CGL) detection was proposed by Saha et al.
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL)
Classification of any region of an image as a CGL (as boundary sub-segments of an occluding object that conceals the hideout) requires examining the 3D relation between boundaries of occluding objects and their neighborhoods & surroundings.
Stutter Diagnosis and Therapy System Based on Deep Learning
Stuttering, also called stammering, is a communication disorder that breaks the continuity of the speech.
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