Hi! Thanks for your great work!
Following your code and instructions, I'm trying to reproduce the Mask-RCNN results on LVIS. Using the same experiment setting provided in the code on 8 * V100 GPUs, the evaluation results of detpro_20e_ens.py are 11.7/26.7/32.8/26.5 (AP_r/AP_c/AP_f/AP).
I also tried to replace the learned prompts fg_bg_5_10_end_ens.pth with your provided iou_neg5_ens.pth, but the performances are similar - 13.4/26.4/32.7/26.6.
I wonder if there should be any modification in the current code in order to reproduce the given results. Besides, is there any difference between the mentioned two learned prompts above?
Thanks for your kindful reply in advance!
Hi! Thanks for your great work! Following your code and instructions, I'm trying to reproduce the Mask-RCNN results on LVIS. Using the same experiment setting provided in the code on 8 * V100 GPUs, the evaluation results of
detpro_20e_ens.py
are 11.7/26.7/32.8/26.5 (AP_r/AP_c/AP_f/AP). I also tried to replace the learned promptsfg_bg_5_10_end_ens.pth
with your providediou_neg5_ens.pth
, but the performances are similar - 13.4/26.4/32.7/26.6. I wonder if there should be any modification in the current code in order to reproduce the given results. Besides, is there any difference between the mentioned two learned prompts above? Thanks for your kindful reply in advance!