1. Research Background
2. Contributions

Overview of MC-ViViT

1. Video Vision Transformer (ViViT)
2. Multi-branch Classifier (MC)
3. MC-ViViT Architecture

New Loss Function

1. Why the I-CONECT dataset is hard?
2. Focal Loss
3. AD-CORRE(FD) Loss 1 – Four Horsemen
4. AD-CORRE(FD) Loss 2 – All For One
5. HP-Loss

1. Dataset Introduction
2. Configuration
3. Results

cell_strct
nn.md

MC-ViViT Architecture

2023, jiansfoggy Revision 509cc8d

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MC-ViViT

develop

GitHub: Homepage; Issues; Download

This Software is under the terms of MIT License.