Object Detection on Birdsnap
0.7794Top-1 AccCLOP
Evaluation results
| Method | Links | |
|---|---|---|
| CLOPPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 0.7794 | |
| CCSSLPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 0.7613 | |
| SimCLRPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 0.759 | |
| SimMatchPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 0.7562 | |
| FixMatchPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 0.7545 | |
| SimMatchV2Pre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 0.7516 | |
| SupConPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 0.7515 | |
| SsCLPre-trained=ImageNet, Backbone=ResNet-50 (4x), Evaluation Protocol=fine-tune2025.11 | 0.7343 |