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yuanli2333 / Hadamard-Matrix-for-hashing

CVPR2020/TNNLS2023: Central Similarity Quantization/Hashing for Efficient Image and Video Retrieval
MIT License
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number of training images for imagenet #12

Open xulj-cs opened 4 years ago

xulj-cs commented 4 years ago

Hi, first really appreciate for sharing codes. I have a question about the experimental settings. in your paper, experimental settings for imagenet is

ImageNet image 10,000 5,000 128,495 100:1

where the number of training images is 10,000. However, the number of training images in this repo is 13,000. Which one is right to reproduce your result in the paper?

Kenny-Li2023 commented 3 years ago

Hi, first really appreciate for sharing codes. I have a question about the experimental settings. in your paper, experimental settings for imagenet is

ImageNet image 10,000 5,000 128,495 100:1

where the number of training images is 10,000. However, the number of training images in this repo is 13,000. Which one is right to reproduce your result in the paper?

There are only 4983 images in test.txt given by ImageNet in the code, and 13,000 images in train.txt. Why is it different from the author's description?