Out-of-Distribution Detection on African Big Five (test)
0.824AUROCGROOD
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| GROODBackbone=ImageNet2025.06 | 0.824 | 0.889 | 0.682 | 0.322 | |
| NCM Agreement Score*Backbone=ImageNet2025.06 | 0.801 | 0.858 | 0.7 | 0.408 | |
| Center LossBackbone=ImageNet2025.06 | 0.762 | 0.807 | 0.745 | 0.446 | |
| EnergyBasedBackbone=ImageNet2025.06 | 0.751 | 0.725 | 0.705 | 0.465 | |
| MaxLogitBackbone=ImageNet2025.06 | 0.75 | 0.701 | 0.7 | 0.463 | |
| DICEBackbone=ImageNet2025.06 | 0.749 | 0.727 | 0.696 | 0.465 | |
| EntropyBackbone=ImageNet2025.06 | 0.747 | 0.748 | 0.674 | 0.395 | |
| MaxSoftmaxBackbone=ImageNet2025.06 | 0.744 | 0.747 | 0.669 | 0.408 | |
| KNNBackbone=ImageNet2025.06 | 0.737 | 0.797 | 0.632 | 0.441 | |
| ReActBackbone=ImageNet2025.06 | 0.732 | 0.733 | 0.667 | 0.469 | |
| OpenMaxBackbone=ImageNet2025.06 | 0.724 | 0.719 | 0.663 | 0.46 | |
| Contrastive Agreement Score*Backbone=ImageNet2025.06 | 0.702 | 0.712 | 0.653 | 0.5 | |
| ReActBackbone=BioClip2025.06 | 0.695 | 0.681 | 0.658 | 0.476 | |
| EnergyBasedBackbone=BioClip2025.06 | 0.694 | 0.679 | 0.625 | 0.48 | |
| GROODBackbone=BioClip2025.06 | 0.693 | 0.573 | 0.764 | 0.411 | |
| NCM AgreementBackbone=ImageNet2025.06 | 0.693 | 0.809 | 0.734 | 0.306 | |
| MaxLogitBackbone=BioClip2025.06 | 0.683 | 0.675 | 0.635 | 0.478 | |
| DICEBackbone=BioClip2025.06 | 0.681 | 0.67 | 0.643 | 0.483 | |
| OpenMaxBackbone=BioClip2025.06 | 0.663 | 0.673 | 0.679 | 0.459 | |
| KNNBackbone=BioClip2025.06 | 0.659 | 0.721 | 0.584 | 0.517 | |
| NCM Agreement Score*Backbone=BioClip2025.06 | 0.651 | 0.676 | 0.554 | 0.475 | |
| Center LossBackbone=BioClip2025.06 | 0.647 | 0.714 | 0.709 | 0.451 | |
| MaxSoftmaxBackbone=BioClip2025.06 | 0.635 | 0.658 | 0.539 | 0.444 | |
| EntropyBackbone=BioClip2025.06 | 0.635 | 0.659 | 0.536 | 0.438 | |
| Contrastive LossBackbone=ImageNet2025.06 | 0.634 | 0.792 | 0.683 | 0.367 | |
| Contrastive Agreement Score*Backbone=BioClip2025.06 | 0.62 | 0.624 | 0.571 | 0.5 | |
| KNNBackbone=Mega-Classifier2025.06 | 0.607 | 0.656 | 0.555 | 0.497 | |
| Deep SVDDBackbone=ImageNet2025.06 | 0.597 | 0.634 | 0.559 | 0.499 | |
| GROODBackbone=Mega-Classifier2025.06 | 0.597 | 0.645 | 0.515 | 0.461 | |
| Deep SVDDBackbone=BioClip2025.06 | 0.596 | 0.642 | 0.548 | 0.499 | |
| NCM AgreementBackbone=BioClip2025.06 | 0.594 | 0.747 | 0.642 | 0.406 | |
| Contrastive Agreement Score*Backbone=Species-Net2025.06 | 0.588 | 0.63 | 0.518 | 0.5 | |
| Contrastive LossBackbone=BioClip2025.06 | 0.58 | 0.751 | 0.619 | 0.42 | |
| KNNBackbone=Species-Net2025.06 | 0.557 | 0.619 | 0.482 | 0.498 | |
| MaxSoftmaxBackbone=Mega-Classifier2025.06 | 0.556 | 0.609 | 0.481 | 0.474 | |
| EntropyBackbone=Mega-Classifier2025.06 | 0.555 | 0.609 | 0.478 | 0.476 | |
| Contrastive Agreement Score*Backbone=Mega-Classifier2025.06 | 0.553 | 0.604 | 0.478 | 0.48 | |
| Contrastive LossBackbone=Species-Net2025.06 | 0.547 | 0.725 | 0.591 | 0.453 | |
| Contrastive LossBackbone=Mega-Classifier2025.06 | 0.546 | 0.698 | 0.621 | 0.454 | |
| GROODBackbone=Species-Net2025.06 | 0.544 | 0.603 | 0.469 | 0.482 | |
| NCM Agreement Score*Backbone=Species-Net2025.06 | 0.542 | 0.597 | 0.477 | 0.49 | |
| MaxLogitBackbone=Mega-Classifier2025.06 | 0.541 | 0.591 | 0.472 | 0.496 | |
| Temp’ScalingBackbone=ImageNet2025.06 | 0.54 | 0.582 | 0.464 | 0.496 | |
| EnergyBasedBackbone=Species-Net2025.06 | 0.537 | 0.587 | 0.48 | 0.499 | |
| MaxLogitBackbone=Species-Net2025.06 | 0.536 | 0.589 | 0.478 | 0.499 | |
| ReActBackbone=Mega-Classifier2025.06 | 0.534 | 0.584 | 0.466 | 0.497 | |
| ReActBackbone=Species-Net2025.06 | 0.533 | 0.584 | 0.477 | 0.499 | |
| NCM Agreement Score*Backbone=Mega-Classifier2025.06 | 0.532 | 0.587 | 0.467 | 0.492 | |
| EnergyBasedBackbone=Mega-Classifier2025.06 | 0.531 | 0.585 | 0.463 | 0.497 | |
| Center LossBackbone=Species-Net2025.06 | 0.531 | 0.627 | 0.712 | 0.497 | |
| NCM AgreementBackbone=Mega-Classifier2025.06 | 0.531 | 0.673 | 0.629 | 0.469 | |
| OpenMaxBackbone=Mega-Classifier2025.06 | 0.53 | 0.579 | 0.566 | 0.498 | |
| SHEBackbone=Species-Net2025.06 | 0.528 | 0.778 | 0.469 | 0.498 | |
| DICEBackbone=Mega-Classifier2025.06 | 0.528 | 0.58 | 0.467 | 0.498 | |
| OpenMaxBackbone=Species-Net2025.06 | 0.526 | 0.574 | 0.473 | 0.497 | |
| SHEBackbone=BioClip2025.06 | 0.526 | 0.771 | 0.454 | 0.498 | |
| EntropyBackbone=Species-Net2025.06 | 0.525 | 0.585 | 0.463 | 0.493 | |
| MaxSoftmaxBackbone=Species-Net2025.06 | 0.523 | 0.59 | 0.458 | 0.492 | |
| DICEBackbone=Species-Net2025.06 | 0.518 | 0.573 | 0.463 | 0.497 | |
| NCM AgreementBackbone=Species-Net2025.06 | 0.518 | 0.654 | 0.632 | 0.482 | |
| Center LossBackbone=Mega-Classifier2025.06 | 0.514 | 0.582 | 0.688 | 0.491 | |
| Deep SVDDBackbone=Mega-Classifier2025.06 | 0.503 | 0.563 | 0.441 | 0.5 | |
| SHEBackbone=Mega-Classifier2025.06 | 0.5 | 0.779 | 0.721 | 0.502 | |
| Deep SVDDBackbone=Species-Net2025.06 | 0.5 | 0.779 | 0.571 | 0.5 | |
| SHEBackbone=ImageNet2025.06 | 0.494 | 0.777 | 0.412 | 0.424 | |
| Temp’ScalingBackbone=Mega-Classifier2025.06 | 0.478 | 0.55 | 0.42 | 0.5 | |
| Temp’ScalingBackbone=Species-Net2025.06 | 0.475 | 0.564 | 0.444 | 0.5 | |
| Temp’ScalingBackbone=BioClip2025.06 | 0.445 | 0.52 | 0.417 | 0.454 |