SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images

This research paper presents an innovative multitask learning framework that allows concurrent depth estimation and semantic segmentation using a single camera. The proposed approach is based on a shared encoder-decoder architecture, which integrates various techniques to improve the accuracy of the...

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Vydané v:	Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems s. 4957 - 4964
Hlavní autori:	Taghavi, Pardis, Langari, Reza, Pandey, Gaurav
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 14.10.2024
Predmet:	Accuracy Cameras Computational efficiency Computer architecture Depth measurement Multitasking Semantic segmentation Source coding Streaming media Training
ISSN:	2153-0866
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