id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
s1784j06x8g	Sreya Banerjee	A Study on Biologically-Inspired Recognition Using Multi-Platform and Multi-Modal Data	2021		.txt	text/plain	558	18	32	Our work on this research led to the following contributions – 1) a new video benchmark dataset, UG2 representing both ideal conditions and common aerial image artifacts, which is publicly available to facilitate new research 2) an extensive evaluation of the influence of image aberrations and problematic conditions on common object recognition and one stage detection models, 3) an analysis of the impact and suitability of basic and state-of-the-art image and video processing algorithms used in conjunction with common object recognition and detection models. To build a recognition system for any application these days, one's first inclination is to turn to the most recent machine learning breakthrough from the area of deep learning, which no doubt has been enabled by access to millions of training images, clean and correctly labelled from the Internet.	cache/s1784j06x8g.txt	txt/s1784j06x8g.txt