Weakly Supervised Object Localization On Cub
المقاييس
MaxBoxAccV2
Top-1 Error Rate
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | MaxBoxAccV2 | Top-1 Error Rate |
|---|---|---|
| attention-based-dropout-layer-for-weakly-1 | 66.3 | 37.71 |
| rethinking-softmax-with-cross-entropy-neural | - | 54.17 |
| f-cam-full-resolution-cam-via-guided | 80.1 | - |
| rethinking-the-route-towards-weakly | - | - |
| on-the-benefits-of-attributional-robustness | - | 34.8 |
| localizing-objects-with-self-supervised | - | - |
| self-supervised-transformers-for-unsupervised | - | - |
| generative-prompt-model-for-weakly-supervised | - | - |
| discriminative-sampling-of-proposals-in-self | 90.9 | - |
| self-produced-guidance-for-weakly-supervised | 60.4 | 53.36 |