Multi Label Classification On Ms Coco
المقاييس
mAP
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | mAP |
|---|---|
| learning-spatial-regularization-with-image | 77.1 |
| mltr-multi-label-classification-with | 90.0 |
| multi-label-image-recognition-with-multi | 83.8 |
| cross-modality-attention-with-semantic-graph | 83.8 |
| attention-driven-dynamic-graph-convolutional-1 | 85.2 |
| multi-label-image-recognition-with-multi | 84.5 |
| query2label-a-simple-transformer-way-to-multi | 91.3 |
| query2label-a-simple-transformer-way-to-multi | 84.9 |
| gkgnet-group-k-nearest-neighbor-based-graph | 87.7 |
| ml-decoder-scalable-and-versatile | 91.4 |
| mltr-multi-label-classification-with | 88.5 |
| query2label-a-simple-transformer-way-to-multi | 90.5 |
| combining-metric-learning-and-attention-heads | 91.30 |
| asymmetric-loss-for-multi-label | 88.4 |
| causality-compensated-attention-for | 90.3 |
| contextual-debiasing-for-visual-recognition | 90.3 |
| a-dual-modality-approach-for-zero-shot-multi | 93.41 |
| multi-layered-semantic-representation-network | 83.4 |
| asymmetric-loss-for-multi-label | 86.6 |
| multi-label-classification-with-label-graph | 83.7 |
| causality-compensated-attention-for | 86.3 |
| transformer-based-dual-relation-graph-for-1 | 84.6 |
| query2label-a-simple-transformer-way-to-multi | 90.3 |
| transformer-based-dual-relation-graph-for-1 | 86.0 |
| gkgnet-group-k-nearest-neighbor-based-graph | 86.7 |
| m3tr-multi-modal-multi-label-recognition-with | 87.5 |
| gkgnet-group-k-nearest-neighbor-based-graph | 82 |
| imagenet-21k-pretraining-for-the-masses | 88.4 |
| a-dual-modality-approach-for-zero-shot-multi | 93.54 |
| ml-decoder-scalable-and-versatile | 91.1 |
| contextual-debiasing-for-visual-recognition | 85.3 |
| a-dual-modality-approach-for-zero-shot-multi | 91.76 |
| imagenet-21k-pretraining-for-the-masses | 89.8 |
| multi-label-graph-convolutional-network | 83.0 |