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Codes for the WACV 2022 paper: "SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning"

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Hello there, in MiniImagenet dataset, how to generate the file wordnetID_100.npy?

Could you please upload the classes split file for CUB dataset? (train/val/test)

when I debug 01_miniimagenet_stage2_SEGA_5W1S, I get the following result : 【traincode.py --->>> def train_stage2(opt): 】 Knovel_ids.size() **torch.Size([8, 5])** Kbase_ids.size() **torch.Size([8, 59])** logit_query.size() **torch.Size([8, 60, 64])** It seems 64 base classes...

Can you share the pretrained model for the first stage? Looking forward to your reply, thanks a lot!!!

Can you share the code or script on how to prepare a given dataset into your pickle-style dataset? Looking forward to your reply, thanks a lot!!!