Lightweight Depth Completion Network with Local Similarity-Preserving Knowledge Distillation

Lightweight Depth Completion Network with Local Similarity-Preserving Knowledge Distillation

Depth perception capability is one of the essential requirements for various autonomous driving platforms. However, accurate depth estimation in a real-world setting is still a challenging problem due to high computational costs. In this paper, we propose a lightweight depth completion network for d...

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Bibliographic Details
Main Authors: Yongseop Jeong, Jinsun Park, Donghyeon Cho, Yoonjin Hwang, Seibum B. Choi, In So Kweon
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
depth completion
local similarity
knowledge distillation
model compression
sensor fusion
multimodal learning
Online Access:https://www.mdpi.com/1424-8220/22/19/7388

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https://www.mdpi.com/1424-8220/22/19/7388

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