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About the ProtoNet with Conv4 backbone result

Open johnnyasd12 opened this issue 5 years ago • 4 comments

Hi, I re-do the Conv4-ProtoNet 5-way-5-shot experiment, but the accuracy is about 4% more than the paper.

python ./train.py --dataset CUB --model Conv4 --method protonet --train_aug
python ./save_features.py --dataset CUB --model Conv4 --method protonet --train_aug
python ./test.py --dataset CUB --model Conv4 --method protonet --train_aug

I ran several experiments with the same setting, getting results with 74-75% accuracy. But the paper shows the result with 70.77%, Is there something wrong?

Thanks!

johnnyasd12 avatar Sep 20 '19 03:09 johnnyasd12

Yeah, even I get similar results

rohitgajawada avatar Oct 19 '19 16:10 rohitgajawada

me too

bfshi avatar Nov 08 '19 02:11 bfshi

me too, even up to 75.72% +- 0.66%

bjlgcxc avatar Dec 11 '19 03:12 bjlgcxc

Hello, sorry about my reported the results for CUB dataset on the paper run fewer episodes and thus not fully converged. I have updated the fully converged results on the Arxiv as the follow link https://arxiv.org/abs/1904.04232.

wyharveychen avatar Jan 15 '20 07:01 wyharveychen