Video Classification On Breakfast
Metrics
Accuracy (%)
Results
Performance results of various models on this benchmark
Model Name | Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| D-Sprv. | 89.9 | Learning To Recognize Procedural Activities with Distant Supervision | - |
| Timeception | 71.3 | Timeception for Complex Action Recognition | - |
| MA-LMM | 93.0 | MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding | - |
| GHRM | 75.5 | Graph-Based High-Order Relation Modeling for Long-Term Action Recognition | - |
| ViS4mer | 88.2 | Long Movie Clip Classification with State-Space Video Models | - |
| S5 | 90.7 | Selective Structured State-Spaces for Long-Form Video Understanding | - |
| VideoGraph | 69.5 | VideoGraph: Recognizing Minutes-Long Human Activities in Videos | - |
| HERMES | 95.2 | HERMES: temporal-coHERent long-forM understanding with Episodes and Semantics | - |
| TranS4mer | 90.27 | Efficient Movie Scene Detection using State-Space Transformers | - |
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