Paper Reading SPLATNet: Sparse Lattice Networks for Point Cloud Processing(CVPR2018)
对SPLATNet的理解 简要介绍SPLATNet 为何要直接处理点云呢？ BCLs(bilateral convolutional layers) Step one: Splat Step two: convolve Step three: slice BCL的一些性质 SPLATNet网络结构 总结 参考文献： 简要介绍SPLATNet 其实，CVPR2019又出了不少关于点云的文章，SPLA
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相关文章
- 1. 点云深度学习系列三： 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