Fine Grained Image Classification On Compcars
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy |
|---|---|
| fine-tuning-darts-for-image-classification | 95.9% |
| a-large-scale-car-dataset-for-fine-grained | 91.2% |
| deep-cnns-with-spatially-weighted-pooling-for | 97.6% |
| attribute-aware-attention-model-for-fine | 95.4% |
| progressive-multi-task-anti-noise-learning | 99.1% |
| a-large-scale-car-dataset-for-fine-grained | 81.9% |
| fine-grained-vehicle-classification-with | 95.6% |