Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation-Reference-Cited by-同舟云学术

Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation

Published:2019-12-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Multimedia Asia
language:
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Author:

Lo Shao-Yuan¹,Hang Hsueh-Ming¹,Chan Sheng-Wei²,Lin Jing-Jhih²

Affiliation:

1. National Chiao Tung University

2. Industrial Technology Research Institute

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3338533.3366558

Reference34 articles.

1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

2. Segmentation and Recognition Using Structure from Motion Point Clouds

3. L.-C. Chen G. Papandreou F. Schroff and H. Adam. Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587 2017. L.-C. Chen G. Papandreou F. Schroff and H. Adam. Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587 2017.

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