Comments (4)
We replace the query generator with learnable parameters in the ablation study, which is similar to the practice in DETR.
from pointr.
We replace the query generator with learnable parameters in the ablation study, which is similar to the practice in DETR.
Thanks for your reply. So, it seems it's a linear projection without max pooling operation. Is my understanding correct or not?
from pointr.
Not really, the queries are independent of the outputs of the encoder. In that case, outputs of the encoder are only used as the memory of the decoder (cross attention) and produce the coarse center points, while the queries of the decoder are some pre-defined and learnable parameters. You can get more details from DETR pipeline (End-to-End Object Detection with Transformers) .
from pointr.
Not really, the queries are independent of the outputs of the encoder. In that case, outputs of the encoder are only used as the memory of the decoder (cross attention) and produce the coarse center points, while the queries of the decoder are some pre-defined and learnable parameters. You can get more details from DETR pipeline (End-to-End Object Detection with Transformers) .
Thanks, I'll check it.
from pointr.
Related Issues (20)
- 大佬你好,注意到你的shapenet2pc只有采样到8192分辨率,那残缺点云是如何制作的呢
- Training error: ModuleNotFoundError: No module named 'pointnet2_ops' HOT 2
- Question about the query ranking.
- Training PoinTr on Custom Dataset HOT 4
- How to get the FLOPs and Throughput like table.9 in the paper?
- 测试完PCN数据集只输出了一个log HOT 3
- Some questions about KITTI
- In KITTI test, the generated point cloud is not base on input HOT 3
- Works on CUDA11.1 but not on CUDA11.8 HOT 1
- 训练权重
- SSC code
- 2 errors detected in the compilation of "gridding.cu"
- How the foreground region is determined for downstream object detection tasks
- 有关训练出来的数据集的问题 HOT 1
- 关于自制kitti数据集训练的问题
- 使用预训练模型PCN
- Version of ShapeNet
- The direction and angle of the point cloud will affect the inference effect HOT 1
- Is random rotation included in the dataset itself? HOT 1
- Inference example with pretrained model,CUDA kernel failed : no kernel image is available for execution on the device HOT 2
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from pointr.