SimSiam

class mmpretrain.models.selfsup.SimSiam(backbone, neck=None, head=None, target_generator=None, pretrained=None, data_preprocessor=None, init_cfg=None)

SimSiam.

Implementation of Exploring Simple Siamese Representation Learning. The operation of fixing learning rate of predictor is in engine/hooks/simsiam_hook.py.

loss(inputs, data_samples, **kwargs)

The forward function in training.

Parameters:

• inputs (List[torch.Tensor]) – The input images.

• data_samples (List[DataSample]) – All elements required during the forward function.

Returns:

A dictionary of loss components.

Return type:

Dict[str, torch.Tensor]