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jiangtaoxie / fast-MPN-COV

@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.
http://peihuali.org/iSQRT-COV/index.html
MIT License
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When will you update the Fine-grained classification results of resnet101 #14

Open abcdvzz opened 5 years ago

abcdvzz commented 5 years ago

When I reproduce the resnet101 experiments on cub, I only got the same results with resnet50 which is 88.1. I want to ask u when will u update the results because there is always TODO.

zzcqinag commented 5 years ago

when you get 88.1% acc,did you train from finetune or just train from Scratch?

abcdvzz commented 5 years ago

when you get 88.1% acc,did you train from finetune or just train from Scratch?

finetune

narrowsnap commented 5 years ago

In my experiment, resnet50 got 88.23% accuracy, and resnet101 is worse than that.

hyao1 commented 2 years ago

In my experiment, resnet50 got 88.23% accuracy, and resnet101 is worse than that. are you modified something in source code except for dataset path. i only achieved 87.9% on cub