【點雲識別】A Closer Look at Local Aggregation Operators in Point Cloud Analysis (ECCV 2020)
A Closer Look at Local Aggregation Operators in Point Cloud Analysis 本文介紹一篇ECCV2020裏面關於點雲局部聚合操作的文章。 論文 代碼 1. 問題 點雲的局部聚合操作 2. 思想 不需要學習參數，簡潔高效。 3. Overview of Local Aggregation Operators General Formula
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相關文章
- 1. 【點雲識別】PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding (ECCV 2020)
- 2. [zz]A Closer Look At the Blueprint CSS Framework
- 3. PaperReading3-A Closer Look at Spatiotemporal Convolutions for Action Recognition
- 4. 【點雲識別】Grid-GCN for Fast and Scalable Point Cloud Learning (CVPR 2020)
- 5. A CLOSER LOOK AT DEEP LEARNING HEURISTICS: LEARNING RATE RESTARTS, WARMUP AND DISTILLATION
- 6. A look at WeChat security
- 7. 【點雲識別】Mapping in a Cycle: Sinkhorn Regularized Unsupervised Learning for Point Cloud Shapes ECCV2020
- 8. 【點雲識別】Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels(CVPR 2020)
- 9. 車輛檢測--A Closer Look at Faster R-CNN for Vehicle Detection
- 10. 【點雲識別】Learning to Segment 3D Point Clouds in 2D Image Space (CVPR 2020)