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AlexNet backbone result (COCO)

Open fegler opened this issue 4 years ago • 3 comments

I run PyTorch HashNet with the below parameters, I just change the backbone network to AlexNet for comparing this code result with the original paper.

dataset: coco net: AlexNet lr: 0.0003 class_num: 1.0 hash_bit: 48

but I get 65.1 mAP which is lower than the original paper. Is there anybody who got the right performance? Could you tell me the right parameter setting?

fegler avatar Jul 20 '20 06:07 fegler

Did u have the error in network.py that ues_hashnet is not defined? I'm running the same experiment. I will report the results after.

hbellafkir avatar Sep 02 '20 10:09 hbellafkir

Did u have the error in network.py that ues_hashnet is not defined? I'm running the same experiment. I will report the results after.

I can run the script without any error.
What line did the error occur? I can't find 'use_hashnet'..

fegler avatar Sep 15 '20 06:09 fegler

Did u have the error in network.py that ues_hashnet is not defined? I'm running the same experiment. I will report the results after.

You need to note this line

Chaolu1997 avatar Sep 09 '21 03:09 Chaolu1997