Paper Reading SPLATNet: Sparse Lattice Networks for Point Cloud Processing(CVPR2018)
對SPLATNet的理解 簡要介紹SPLATNet 爲何要直接處理點雲呢？ BCLs(bilateral convolutional layers) Step one: Splat Step two: convolve Step three: slice BCL的一些性質 SPLATNet網絡結構 總結 參考文獻： 簡要介紹SPLATNet 其實，CVPR2019又出了不少關於點雲的文章，SPLA
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相關文章
- 1. 點雲深度學習系列三： SPLATNet: Sparse Lattice Networks for Point Cloud Processing
- 2. Paper Reading《Relation Networks for Object Detection》
- 3. Paper Reading -- 《Spectral-Spatial Attention Networks for Hyperspectral Image Classification》
- 4. Paper Reading: Slimmable Neural Networks
- 5. #Paper Reading# EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 6. [Paper Reading Note]Aggregated Residual Transformations for Deep Neural Networks
- 7. Tools for reading paper[astro]
- 8. Point Cloud 2019
- 9. [paper reading] RetinaNet
- 10. [paper reading] ResNet