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Deep Quantized Representation for Enhanced Reconstruction

Akash Gupta, Abhishek Aich, Kevin Rodriguez, Venugopala Reddy G, Amit Roy-Chowdhury

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    Length: 04:24
03 Apr 2020

In this paper, we propose a data driven Deep Quantized Latent Representation (DQLR) for high-quality data reconstruction in the Shoot Apical Meristem (SAM) of Arabidopsis thaliana. Our proposed framework utilizes multiple consecutive slices to learn a low dimensional latent space, quantize it and perform reconstruction using the quantized representation.

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