Question about performance of NOCS-REAL275 about 6-pack

[j96w]

Hi,

For Q1: In our paper, we introduced our simple temporal model as:" 6-PACK where the predicted pose in the next frame extrapolates from the last estimated inter-frame change of pose (constant velocity model)". To achieve this idea, you can simply add the previous predicted inter-frame pose changes best_t to the generated anchor for the next frame. You can add this one line code in either network/eval_forward or dataset/get_one.

For Q2: Thanks for mention this point. Since 6-PACK is a tracking model, the performance might vary between different trials. This is why we tested our model for 5 trials and regard the mean score as the final evaluation result. Your number is the result of Trial: TEMP_50. We also released TEMP_51, 52, 53, 54, which are the other 4 trials. To calculate the mean score, you can simply change the pred_list in benchmark.py to pred_list = [50, 51, 52, 53, 54]. Then you will receive the score we reported.