Proposed visual forward-forward network (IMAGE)

Seoul National University of Science & Technology

Proposed visual forward-forward network

Caption

VFF-Net introduces three new methodologies: label-wise noise labelling (LWNL), cosine similarity-based contrastive loss (CSCL), and layer grouping (LG), addressing the challenges of applying a forward-forward network for training convolutional neural networks.

Credit

Hyung Kim from Seoul National University and Technology

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