Visual Question Answering On Vqa Cp
Metrics
Score
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Score |
|---|---|
| learning-visual-question-answering-by | 28.65 |
| dont-take-the-easy-way-out-ensemble-based | 52.05 |
| counterfactual-samples-synthesizing-for | 58.95 |
| self-critical-reasoning-for-robust-visual | 49.45 |
| removing-bias-in-multi-modal-classifiers | 54.55 |
| removing-bias-in-multi-modal-classifiers | 56.74 |
| greedy-gradient-ensemble-for-robust-visual | 57.32 |
| rubi-reducing-unimodal-biases-in-visual | 47.11 |
| murel-multimodal-relational-reasoning-for | 39.54 |
| learning-by-abstraction-the-neural-state | 45.8 |