MonoVAN: Visual Attention for Self-Supervised Monocular Depth Estimation-Reference-Cited by-同舟云学术

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MonoVAN: Visual Attention for Self-Supervised Monocular Depth Estimation

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
language:
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Author:

Indyk Ilia¹,Makarov Ilya²

Affiliation:

1. HSE University

2. AI Center NUST MISiS Artificial Intelligence Research Institute (AIRI)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10316350/10316351/10316448.pdf?arnumber=10316448

Reference68 articles.

1. Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention

2. Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation

3. AdaBins: Depth Estimation Using Adaptive Bins

4. Activating More Pixels in Image Super-Resolution Transformer

5. Multi-user facial emotion recognition in video based on user-dependent neural network adaptation

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