id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
6969z032q4p	Bryan (Ning) Xia	Learning Attentive Deep Representations for Object Re-Identification and Beyond	2021		.txt	text/plain	347	12	24	However, the designed attention mechanisms are designed from the root of solving object re-identification problems, they are also deep learning mechanisms with the capability of solving other problems. The attention mechanisms are versatile for solving a multi-label text classification problem, which takes advantage of the attention mechanism's capability of modeling pair-wise relationships to model the text representations and label representations.	cache/6969z032q4p.txt	txt/6969z032q4p.txt