BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
Research background •It can be broadly applied to the fields of augmented reality devices, autonomous driving, and video surveillance. These applications have a high demand for efficient inference sp
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相關文章
- 1. BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
- 2. 【論文學習記錄】BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
- 3. [論文閱讀]BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
- 4. 論文筆記-BiSeNet：Bilateral Segmentation Network for Real-time Semantic Segmentation
- 5. 《BiSeNet：Bilateral Segmentation Network for Real-time Semantic Segmentation》論文筆記
- 6. Pyramid Attention Network for Semantic Segmentation
- 7. Learning Deconvolution Network for Semantic Segmentation
- 8. [SDN]Stacked Deconvolutional Network for Semantic Segmentation
- 9. DeconvNet：Learning Deconvolution Network for Semantic Segmentation
- 10. PaperReading2-Pyramid Attention Network for Semantic Segmentation