vaesl

Results 6 comments of vaesl

Sorry for the late reply. We have not conducted the analysis for the computation cost for PETR series. The "get_flops.py" you found in the repo is not used for calculating...

Hi, thanks for your pointing out this problem! As you mentioned, the extrinsic parameters (3D PE in our paper) as well as the gt_maps should be transformed together when applying...

Yes, the batch size is 1 for both training and evaluation.

Thanks for your pointing out this issue. Indeed, there is a silly bug in calculating the IoU metric. We will first update the Readme to remind the users of PETRv2...

@shwoo93 I also reproduced the result of original SSD with the RFB training scheme and got 79.04%, so I think it is fair to compare this result with the RFB...

> I am sorry for the late reply. We use this checkpoint (https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_large_patch4_window7_224_22kto1k.pth), which is pretrained on ImageNet22k and finetuned on ImageNet1k with 224x224 input size. The training config for...