Lightweight and Progressively-Scalable Networks for Semantic Segmentation
Multi-scale learning frameworks have been regarded as a capable class of models to boost semantic segmentation. The problem nevertheless is not trivial especially for the real-world deployments, which often demand high efficiency in inference latency. In this paper, we thoroughly analyze the design...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |