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Few-shot Segmentation

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Hi! I met some difficulty when I training the model: First,in the dataset_val: one is the root about masks and images; the other is whether should we resize the input...

Dear authors. Hello, I found that `train.py` shows many unsolved references. For example, `optimizer = optim.SGD([{'params': get_10x_lr_params(model), 'lr': args.lr}], lr=args.lr, momentum=args.momentum, weight_decay=args.weight_decay)` and `from Network import network`. References for `get_10x_lr_params`...

Could you please explain that why you reduce the channel of low level features to 48 in the decoder? It is confusing. https://github.com/Wi-sc/BriNet/blob/82ebe737c7b56d021ae1ed7a10ce37215008a147/decoder.py#L10 https://github.com/Wi-sc/BriNet/blob/82ebe737c7b56d021ae1ed7a10ce37215008a147/decoder.py#L11 https://github.com/Wi-sc/BriNet/blob/82ebe737c7b56d021ae1ed7a10ce37215008a147/decoder.py#L12 https://github.com/Wi-sc/BriNet/blob/82ebe737c7b56d021ae1ed7a10ce37215008a147/decoder.py#L13