MC-ViViT
Background
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
Experiment
1. Dataset Introduction
2. Configuration
3. Results
Discussion
MC-ViViT
cell_bg
README.md
Background
{% include list.liquid all=true %}
Research Background
Contributions
Next
2023,
jiansfoggy
Revision
509cc8d
Built with
GitHub Pages
using a
theme
provided by
RunDocs
.
MC-ViViT
develop
GitHub
Homepage
Issues
Download
This
Software
is under the terms of
MIT License
.