Domain Generalization On Vlcs
المقاييس
Average Accuracy
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
اسم النموذج | Average Accuracy |
---|---|
vne-an-effective-method-for-improving-deep | 79.7 |
simple-specialized-model-sample-matching-for | 79.9 |
domain-generalization-by-mutual-information | 81.7 |
context-aware-robust-fine-tuning | 85.5 |
fishr-invariant-gradient-variances-for-out-of | 78.2 |
rethinking-multi-domain-generalization-with-a | 79.2 |
discriminative-adversarial-domain | 74.46 |
domain-generalization-using-large-pretrained | 83.1 |
ensemble-of-averages-improving-model | 81.1 |
domain-generalization-using-pretrained-models | 82.2 |
adaptive-methods-for-aggregated-domain | 78.9 |
promptstyler-prompt-driven-style-generation | 82.3 |
adaptive-methods-for-aggregated-domain | 79.6 |
rethinking-multi-domain-generalization-with-a | 82.4 |
domain-generalization-needs-stochastic-weight | 79.1 |
distilling-from-vision-language-models-for | 83.25 |
domain-generalization-using-pretrained-models | 79.8 |
towards-unified-and-effective-domain | 84.5 |
ensemble-of-averages-improving-model | 80.4 |
domain-aware-triplet-loss-in-domain | 82.9 |
promptstyler-prompt-driven-style-generation | 82.4 |
promptstyler-prompt-driven-style-generation | 82.9 |
simple-specialized-model-sample-matching-for | 82.7 |
improving-multi-domain-generalization-through | 79.02 |
self-challenging-improves-cross-domain | 75.43 |
sparse-fusion-mixture-of-experts-are-domain | 80.2 |
domain-generalization-by-mutual-information | 79.6 |
poem-polarization-of-embeddings-for-domain | 79.2 |
discriminative-adversarial-domain | 78.21 |
ensemble-of-averages-improving-model | 79.1 |
soft-prompt-generation-for-domain | 84.0 |
domain-aware-triplet-loss-in-domain | 79.3 |
cadg-a-model-based-on-cross-attention-for | 82.2 |
soft-prompt-generation-for-domain | 82.4 |
rethinking-multi-domain-generalization-with-a | 79.6 |
deep-stable-learning-for-out-of-distribution | 77.65 |
rethinking-multi-domain-generalization-with-a | 82.2 |