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Benchmarks
Cognitive Distraction Detection on DR(eye)VE (Leave-one-dataset-out)
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60.2
Accuracy
EyeCue
48.6976
51.6838
54.67
57.6562
May 8, 2026
Accuracy
F1 Score
Updated 23d ago
Evaluation Results
Method
Method
Links
Accuracy
F1 Score
EyeCue
Backbone=TimeSformerK6...
2026.05
60.2
67
InternVideo2s1-1B
Backbone=ViT-B/14, Tra...
2026.05
59.31
58
VideoMAEK400
Backbone=ViT-B/16, Tra...
2026.05
58.85
64
EgoVideo
Backbone=ViT-B/14, Tra...
2026.05
55.65
56
TimeSformerK600
Backbone=ViT-B/16, Tra...
2026.05
55.41
61
TimeSformerK400
Backbone=ViT-B/16, Tra...
2026.05
55.4
55
Voila-A
Backbone=CLIP ViT-L/14...
2026.05
54.91
45
EyeCue
Backbone=VideoMAEK400,...
2026.05
54.67
62
Video-LLaVA
Backbone=OpenCLIP-L/14...
2026.05
53.75
51
GazeVQA
Backbone=CLIP ViT-B/32...
2026.05
51.97
65
GazeGPT
Backbone=GLM-4.5V-AWQ,...
2026.05
51.29
42
VideoLLaMA3
Backbone=ViT-B/16, Tra...
2026.05
51.17
39
Heatmap-based
Backbone=SVM, Training...
2026.05
49.39
14
GazeLLM
Backbone=Gemini-2.5-Pr...
2026.05
49.14
8
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