《论文阅读》SESS: Self-Ensembling Semi-Supervised 3D Object Detection
留个笔记自用 SESS: Self-Ensembling Semi-Supervised 3D Object Detection 做什么 3D object detection。3维目标检测 对于输入的3D点云，像2D一样使用一个bounding box去将相应的物体包围起来，不过这里使用的bounding box也同样变成了3维的 做了什么 3D物体检测对数据集的要求都懂，是很昂贵的，这里采用的
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相关文章
- 1. SESS: Self-Ensembling Semi-Supervised 3D Object Detection
- 2. 【文章阅读】Patch Refinement - Localized 3D Object Detection
- 3. 论文阅读：EfficientDet: Scalable and Efficient Object Detection
- 4. 论文阅读-《Focal Loss for Dense Object Detection》
- 5. Focal Loss for Dense Object Detection论文阅读
- 6. 论文阅读：Deep Neural Networks for Object Detection
- 7. 论文阅读-《Relation Networks for Object Detection》
- 8. 论文阅读：CenterNet: Keypoint Triplets for Object Detection
- 9. 论文阅读：FCOS：Fully Convolutional One-Stage Object Detection
- 10. [论文阅读] Focal Loss for Dense Object Detection