EMSFomer: Efficient Multi-Scale Transformer for Real-Time Semantic Segmentation
Transformer-based models have achieved impressive performance in semantic segmentation in recent years. However, the multi-head self-attention mechanism in Transformers incurs significant computational overhead and becomes impractical for real-time applications due to its high complexity and large l...
| 出版年: | IEEE Access |
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| 主要な著者: | , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
IEEE
2025-01-01
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| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/10852306/ |